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6,300 | Get Started with Python | 98,869 | 4.8 | 1,313 | Google Career Certificates | Google | ['Python Programming', 'Jupyter Notebook', 'Coding', 'Using Comments to Enhance Code Readability', 'Data Visualization'] | This is the second of seven courses in the Google Advanced Data Analytics Certificate. The Python programming language is a powerful tool for data analysis. In this course, you’ll learn the basic concepts of Python programming and how data professionals use Python on the job. You'll explore concepts such as object-oriented programming, variables, data types, functions, conditional statements, loops, and data structures. Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career.
Learners who complete the seven courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate.
By the end of this course, you will:
-Define what a programming language is and why Python is used by data scientists
-Create Python scripts to display data and perform operations
-Control the flow of programs using conditions and functions
-Utilize different types of loops when performing repeated operations
-Identify data types such as integers, floats, strings, and booleans
-Manipulate data structures such as , lists, tuples, dictionaries, and sets
-Import and use Python libraries such as NumPy and pandas You’ll begin by exploring the basics of Python programming and why Python is such a powerful tool for data analysis. You’ll learn about Jupyter Notebooks, an interactive environment for coding and data work. You’ll investigate how to use variables and data types to store and organize your data; and, you'll begin practicing important coding skills. 12 videos7 readings4 quizzes3 ungraded labs Next, you’ll discover how to call functions to perform useful actions on your data. You’ll also learn how to write conditional statements to tell the computer how to make decisions based on your instructions. And you’ll practice writing clean code that can be easily understood and reused by other data professionals. 8 videos4 readings3 quizzes5 ungraded labs Here, you’ll learn how to use iterative statements, or loops, to automate repetitive tasks. You’ll also learn how to manipulate strings using slicing, indexing, and formatting. 9 videos5 readings4 quizzes7 ungraded labs Now, you’ll explore fundamental data structures such as lists, tuples, dictionaries, sets, and arrays. Lastly, you’ll learn about two of the most widely used and important Python tools for advanced data analysis: NumPy and pandas. 17 videos12 readings5 quizzes9 ungraded labs You will put everything you have learned about Python so far into practice with an end-of-course project. You will select a business problem from a list of options and use the given data to solve the problem. This project is an opportunity to demonstrate your skills and build a professional portfolio you can use to showcase your work to potential employers. 4 videos10 readings4 quizzes6 ungraded labs | 5 modules | Advanced level | null | https://www.coursera.org/learn/get-started-with-python | 98% |
6,301 | Current-Mode Control | 3,690 | 4.9 | 19 | Dr. Dragan Maksimovic | University of Colorado Boulder | ['Modeling And Simulation', 'Power Supplies', 'Power Electronics Design', 'Power Electronics', 'Circuit Design'] | This course can also be taken for academic credit as ECEA 5708, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is Course #4 in the Modeling and Control of Power Electronics course sequence. The course is focused on current-mode control techniques, which are very frequently applied in practical realizations of switched-mode. Practical advantages of peak current mode control are discussed, including built-in overcurrent protection, simpler and more robust dynamic responses, as well as abilities to ensure current sharing in parallel connected converter modules. For peak current-mode controlled converters, slope compensation, and high-frequency effects are discussed in detail. Upon completion of the course, you will be able to understand, analyze, model, and design high-performance current-mode controllers for dc-dc power converters, including peak current-mode controllers and average current-mode controllers.
We strongly recommend students complete the CU Boulder Power Electronics specialization as well as Course #1 (Averaged-Switch Modeling and Simulation) before enrolling in this course (the course numbers provided below are for students in the CU Boulder's MS-EE program):
● Introduction to Power Electronics (ECEA 5700)
● Converter Circuits (ECEA 5701)
● Converter Control (ECEA 5702)
● Averaged-Switch Modeling and Simulation (ECEA 5705)
After completing this course, you will be able to:
● Understand the operating principles and benefits of current-mode control for dc-dc converters
● Model and design peak current-mode controlled dc-dc converters
● Model and design average current-mode controlled dc-dc converters
● Use computer-aided tools and simulations to verify current-mode controlled dc-dc converters Introduction to peak current-mode control, simple model, and the need for slope compensation 7 videos3 readings4 quizzes1 discussion prompt More accurate averaged model, averaged circuit simulations, and design of control loops 7 videos4 quizzes Introduction to the sampled-data nature of switching converters and high-frequency effects in peak current-mode controlled converters 10 videos2 quizzes Averaged current-mode control and design of current and voltage control loops 6 videos2 quizzes | 4 modules | Intermediate level | null | https://www.coursera.org/learn/current-modecontrol | null |
6,302 | Front-End Development Capstone Project | 4,376 | 4.5 | 40 | IBM Skills Network Team | IBM | ['Software Development', 'React (Web Framework)', 'Front-end Development', 'Front-end design', 'Web Development'] | According to internetlivestats.com, there are over 1.58 billion websites of which 200 million are active websites. This number is constantly growing with most businesses leaning towards building their own websites or enhancing them. This requires skilled web developers to get the job done. A key objective of this capstone project is to help you get all your design and coding skills together to implement a responsive website. This will help you gain the confidence and comfort in building websites and better your job prospects.
In this six-week capstone project, you will design and develop website component layouts and push it to a GitHub repository.
Ready to enhance your professional portfolio with a comprehensive website built using HTML, CSS, and React? This capstone project will help you get closer to that goal!
We assume that you have completed all the previous courses in the IBM Front-End Developer Professional Certificate. In this module, you will start with an overview of different tasks in the Capstone project and understand the business requirements to develop a website through a project scenario. You will then initiate the project’s design phase by creating mockups for website layouts using Figma, including Navigation Bar, Sign Up, Login, Appointment Booking, and Reviews. 2 videos3 readings2 assignments5 plugins In this module, you will start your journey into developing the website. You will create a repository for your project using forking. You will then clone the repository to the lab environment. After the lab environment is set up, you will create layouts, including the Navigation Bar, Sign-up form, and Login form, and apply styling to static website pages using HTML and CSS. Finally, you will test the static components. 2 assignments2 app items2 plugins In this module, you will start working with React to build and manage dynamic components. As a first step, you will set up the React project and establish the required database connectivity, which is required for a few of the website components to function. You will then convert the static pages to dynamic React components and test them. You will also create the first dynamic React component for the project. Finally, you will integrate an existing dynamic React component and customize it based on your color scheme and theme for the website. 2 assignments5 app items4 plugins In this module, you will continue developing dynamic React components. You will also test each component to ensure they are working as expected. 2 assignments3 app items3 plugins In this module, you will integrate all components and test the website’s functionality. Then, you will deploy the website. After deploying, you will make changes to the website components to add meta tags for SEO in the index.html file for the project and redeploy the website. 2 assignments2 app items2 plugins In the final module, you will need to submit the screenshots from the hands-on labs for peers to review. You will submit GitHub repository links to enable peers to review your code. After you submit your project, you will need to review and grade one of your peer’s submissions. 2 readings1 peer review | 6 modules | Advanced level | 20 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/front-end-development-capstone-project | null |
6,303 | Managing Change when Moving to Google Cloud | 4,234 | 4.7 | 172 | Google Cloud Training | Google Cloud | [] | Moving to the cloud creates numerous opportunities to start working in a new way and it empowers the workforce to better collaborate and innovate. But it’s also a big change. Sometimes the success of the change hinges not on the change itself, but on how it’s managed. This course will help people managers to understand some of the key challenges associated with cloud adoption, and provide them with a verified in-the-field framework that will assist them in supporting their teams on the change journey. By addressing the human factor of moving to the cloud, organizations increase their chances of realizing business objectives and investing in their future talent. 8 videos2 readings7 assignments | 1 module | Beginner level | 1 hour to complete | https://www.coursera.org/learn/managing-change-when-moving-to-google-cloud | null |
6,304 | Advanced Malware and Network Anomaly Detection | Enrollment number not found | Rating not found | null | Lanier Watkins | Johns Hopkins University | ['Malware Analysis', 'Research Presentation Skills', 'Machine Learning for Detection', 'Anomaly Detection Techniques', 'Performance Evaluation'] | The course "Advanced Malware and Network Anomaly Detection" equips learners with essential skills to combat advanced cybersecurity threats using artificial intelligence. This course takes a hands-on approach, guiding students through the intricacies of malware detection and network anomaly identification. In the first two modules, you will gain foundational knowledge about various types of malware and advanced detection techniques, including supervised and unsupervised learning methods. The subsequent modules shift focus to network security, where you’ll explore anomaly detection algorithms and their application using real-world botnet data. What sets this course apart is its emphasis on practical, project-based learning. By applying your knowledge through hands-on implementations and collaborative presentations, you will develop a robust skill set that is highly relevant in today’s cybersecurity landscape. Completing this course will prepare you to effectively identify and mitigate threats, making you a valuable asset in any cybersecurity role. With the rapid evolution of cyber threats, this course ensures you stay ahead by leveraging the power of AI for robust cybersecurity measures. This course provides a comprehensive exploration of malware detection and analysis, covering the identification and classification of malware types and their characteristics. Students will learn fundamental concepts of malware analysis, network threats, and detection methods while employing various tools and algorithms for effective detection and performance assessment. 2 readings In this module, we will discuss common types of malware, malware analysis tools, and basic malware analysis processes. Specifically, we will be discussing basic approaches to analyzing Windows-based malware. 2 videos3 readings3 assignments In this module, we investigate hands-on malware detection implementations, both unsupervised and supervised. Also, we discuss metrics to evaluate the performance of malware detection algorithms. 2 videos3 readings3 assignments1 ungraded lab This module will discuss the background of network threats and anomaly detection. Also, we explore hands-on implementations of anomaly detection analytics using botnet data and the next evolution of anomaly detection, autonomic cybersecurity systems. 2 videos4 readings3 assignments1 ungraded lab | 4 modules | Intermediate level | 11 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/advanced-malware-and-network-anomaly-detection | null |
6,305 | Working with Notebooks in Vertex AI | Enrollment number not found | Rating not found | null | Google Cloud Training | Google Cloud | [] | This course is an introduction to Vertex AI Notebooks, which are Jupyter notebook-based environments that provide a unified platform for the entire machine learning workflow, from data preparation to model deployment and monitoring. The course covers the following topics: (1) The different types of Vertex AI Notebooks and their features and (2) How to create and manage Vertex AI Notebooks. This course is an introduction to Vertex AI Notebooks, which are Jupyter notebook-based environments that provide a unified platform for the entire machine learning workflow, from data preparation to model deployment and monitoring. The course covers the following topics: (1) The different types of Vertex AI Notebooks and their features and (2) How to create and manage Vertex AI Notebooks. 5 videos1 reading1 assignment2 app items | 1 module | Beginner level | 2 hours to complete | https://www.coursera.org/learn/working-with-notebooks-in-vertex-ai | null |
6,306 | Question Reality! Science, philosophy, a search for meaning Specialization | Enrollment number not found | 4.9 | 25 | Marcelo Gleiser | Dartmouth College | [] | How much can we know of the physical world? Can we know everything? Or are there fundamental limits to how much we can explain? If there are limits, to what extent can we explain the nature of physical reality? RealityX investigates the limits of knowledge and what we can and cannot know of the world and ourselves. We will trace the evolution of ideas about the nature of reality in philosophy and the natural sciences through the ages. Starting with the philosophers of Ancient Greece and ending with cutting edge theories about the universe, quantum physics, and the nature of consciousness. Join world-renowned physicist and author Marcelo Gleiser and leading experts as we explore how philosophers and physicists from Plato to Einstein and many others have attempted to explain the nature of the world and of reality. Applied Learning Project Learners are invited to reflect on the ideas and evidence presented in lectures and readings through course discussions and individual writing prompts. Additionally, learners are prompted to discuss their learning journey with friends or family members as a means of reflection and synthesis. This course explores the concept of reality and the physics of the sky. You will travel through the philosophies and worldviews of early civilizations to the time of early scientists such as Plato, Aristotle, and Copernicus. You will learn how Galileo's findings with the telescope challenged the Aristotelian interpretation of the cosmos, about Galileo’s revolutionary conclusions on gravity, and Newton's universal law of gravitation.
This course will also introduce you to the scientific methods and their limitations. You will also explore the properties and behaviors of homemade pendulums.
Next, you will explore modern ideas of cosmology, of the Big Bang, and even recent speculations that our universe is not all there is. Mysteries and properties of light and how they were discovered, questioned, and confirmed through experiments over the past few hundred years through the present will also be discussed. In this course, you will walk through a timeline of “the atom” from the Greeks through discoveries in the 1900s and learn how our understanding of matter and the atom affected our views on reality. You will be introduced to some of the current understandings of matter and subatomic particles and also take a trip to the Large Hadron Collider at CERN! Finally, you will explore quantum mechanics' interpretation of reality and compare quantum versus classical boundaries.
This course also addresses questions such as: Where do you draw the line between the quantum and the classical worlds? What do we mean by “knowable” and “unknowable”? This course explores questions about mathematics, nature, and perfection. You will learn about logic, computers, simulations, and different perspectives on the nature of human consciousness.
You will also be able to determine what free will means to you and your reality. Next, you will learn the features of artificial intelligence and understand if it is possible to mimic the complexity of a brain through a machine. | 3 course series | Beginner level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/question-reality-science-philosophy | null |
6,307 | Google Advanced Data Analytics Professional Certificate | 138,691 | 4.8 | 3,926 | Google Career Certificates | Google | ['Data Science', 'Data Analysis', 'Python Programming', 'Jupyter Notebook', 'Machine Learning', 'Statistical Analysis', 'Tableau Software', 'Data Visualization', 'Predictive Modelling', 'Kaggle'] | Get professional training designed by Google and take the next step in your career with advanced data analytics skills.There are over 144,000 open jobs in advanced data analytics and the median salary for entry-level roles is $118,000.¹ Advanced data professionalsare responsible for collecting, analyzing, and interpreting extremely large amounts of data. These jobs require manipulating large data sets and using advanced analytics including machine learning, predictive modeling, and experimental design. This certificate builds on your data analytics skills and experience to take your career to the next level. It's designed for graduates of theGoogle Data Analytics CertificateOpens in a new tabor people with equivalent data analytics experience. Expand your knowledge with practical, hands-on projects, featuring Jupyter Notebook, Python, and Tableau. After seven courses, you’ll be prepared for jobs like senior data analyst, junior data scientist, data science analyst, and more. At under 10 hours a week, the certificate program can be completed in less than six months. Upon completion, you can apply for jobs with Google and over 150 U.S. employers, including Deloitte, Target, and Verizon. 75% of certificate graduates report a positive career outcome (e.g., new job, promo or raise) within six months of completion2 ¹Lightcast™ US Job Postings (Last 12 Months: 1/1/2022 – 12/31/2022) 2Based on program graduate survey, United States 2022 Applied Learning Project This program includes over 200 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world advanced data analytics scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in advanced data analytics and data science. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to advanced data analytics tools and platforms and key technical skills required for an advanced role. Platforms and tools you will learn include:Jupyter Notebook, Python, Tableau In addition to expert training and hands-on projects, you'll complete a capstone project that you can share with potential employers to showcase your new skill set. Learn concrete skills that top employers are hiring for right now. Understand common careers and industries that use advanced data analytics Investigate the impact data analysis can have on decision-making Explain how data professionals preserve data privacy and ethics Develop a project plan considering roles and responsibilities of team members Explain how Python is used by data professionals Explore basic Python building blocks, including syntax and semantics Understand loops, control statements, and string manipulation Use data structures to store and organize data Apply the exploratory data analysis (EDA) process Explore the benefits of structuring and cleaning data Investigate raw data using Python Create data visualizations using Tableau Explore and summarize a dataset Use probability distributions to model data Conduct a hypothesis test to identify insights about data Perform statistical analyses using Python Investigate relationships in datasets Identify regression model assumptions Perform linear and logistic regression using Python Practice model evaluation and interpretation Identify characteristics of the different types of machine learning Prepare data for machine learning models Build and evaluate supervised and unsupervised learning models using Python Demonstrate proper model and metric selection for a machine learning algorithm Examine data to identify patterns and trends Build models using machine learning techniques Create data visualizations Explore career resources Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹ When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹ Illinois Tech Degree · 12-15 months Illinois Tech Degree Illinois Tech Degree · 12-24 months Ball State University Degree · 24 months ¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information. This Professional Certificate has ACE® recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution.Learn more | 7 course series | Advanced level | null | https://www.coursera.org/professional-certificates/google-advanced-data-analytics | null |
6,308 | Non-Communicable Diseases in Humanitarian Settings | 4,479 | 4.8 | 109 | Siri Tellier | University of Copenhagen | ['diseases of poverty', 'causes of death', 'double burden', 'child mortality'] | NCDs are the leading cause of death in almost every region of the world, and place a huge burden on individuals, families and societies. Humanitarian settings have a negative effect on the levels of disease, and the possibility of treatment. The importance of NCDs in global health is acknowledged by their inclusion in the Sustainable Development Goals, which call for a reduction of a third in premature mortality from NCDs by 2030. However, NCDs have until recently received little attention in humanitarian settings, leaving prevention, care and treatment needs largely unaddressed among some of the most vulnerable populations. According to the World Health Organization, 70 percent of global deaths are due to NCDs. The four main disease groups which cause the greatest number of deaths are cardiovascular disease, cancer, diabetes and chronic obstructive pulmonary disease (including asthma). The course will provide knowledge about issues and dilemmas that occur around NCDs in humanitarian settings and possible solutions.
Why are NCDs a problem in humanitarian emergencies or crises? Natural disasters and complex emergencies, including armed conflict, have a negative effect on the levels of disease, and on the possibilities for preventing, treating and caring for people with NCDs. People living with NCDs often need continuous care to avoid disease progression, and disrupted treatment due to natural disaster or emergencies pose a large health challenge. In conflict situations and fragile contexts, the challenge of disrupted care and treatment may be exacerbated – an estimated 65 million people have been forcibly displaced by conflict, displacement lasts longer, and at times health systems and health personnel are deliberately targeted. In module one you will learn about why NCDs have increased in the world as a whole and about why NCDs are a particular problem in humanitarian emergencies or crises. Natural disasters and complex emergencies including armed conflict may have a negative effect, both on the levels of disease, and on the possibilities for preventing, treating or caring for people with NCDs. 6 videos7 readings3 assignments In module two you will learn about some of the basic approaches of humanitarian action and how they might that apply to NCDs. This would include basic concepts, and how they might help or hamper the response to NCDs. 4 videos9 readings3 assignments In module three you will learn about prioritization (the classical first priority for health response to save lives, and concentrate on excess mortality and morbidity), the importance of risk analysis (the risk equation), the challenges involved in transition from acute to longer term assistance – from blueprint to contextualizing and building capacity – as well as about longer term budgetary issues. 4 videos7 readings3 assignments | 3 modules | Intermediate level | 14 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/non-communicable-diseases-in-humanitarian-settings | null |
6,309 | Design of Digital Circuits with VHDL Programming | Enrollment number not found | Rating not found | null | Subject Matter Expert | L&T EduTech | ['RTL Design and Simulation (using Xilinx ISE)', 'VHDL Programming', 'Embedded System Design', 'Digital Circuit Design with VHDL', 'FPGA Architecture'] | This course is designed to provide a comprehensive understanding of digital circuit design using VHDL programming with Xilinx ISE. Participants will learn the fundamentals of VHDL, simulation modeling, and design methodologies for digital circuits, including combinational and sequential circuits. Practical exercises using Xilinx ISE will enhance hands-on skills in circuit implementation, simulation, and analysis. By the end of this course, you will be able to:
Understand the structure and behavior of digital circuits using VHDL.
Design and simulate digital circuits using Xilinx ISE.
Implement combinational and sequential logic circuits in VHDL.
Analyze and verify the functionality of digital circuits through simulation. This module provides a comprehensive introduction to VHDL (VHSIC Hardware Description Language) programming, focusing on digital circuit design and simulation. Participants will learn about VHDL design elements, data objects, modeling styles, delay type modeling, operators, concurrent statements, process statements, subprograms, data flow description, behavioral description, attributes, and logic operations. The module aims to simplify VHDL programming concepts and techniques, making it accessible for beginners and providing a strong foundation for digital circuit design using VHDL. 16 videos5 readings1 assignment This module provides a comprehensive exploration of digital combinational circuits design using VHDL programming within the Xilinx ISE Design Suite environment. Participants will delve into fundamental concepts such as AND gates, half adders, full adders, multiplexers, demultiplexers, encoders, decoders, comparators, barrel shifters, and binary-to-BCD and binary-to-Gray code converters. The module covers various VHDL modeling styles including structural, dataflow, and behavioral modeling, enabling a deep understanding of circuit design and simulation. 51 videos1 assignment This module focuses on the design and implementation of digital sequential circuits using VHDL programming within the Xilinx ISE-I environment. Participants will delve into fundamental sequential circuit components such as D latch, D flip-flop, SR flip-flop, JK flip-flop, T flip-flop, shift registers, counters, and FIFO memories. Various VHDL modeling styles including structural, dataflow, and behavioral modeling will be utilized to develop and analyze the functionality of these sequential circuits. 20 videos1 assignment This module delves into the design and implementation of digital sequential circuits using VHDL programming techniques within the Xilinx ISE-II environment. Participants will explore various sequential circuit components such as Single Port RAM, Dual Port RAM, sequence detectors (including Mealy and Moore machines), and a digital model of a vending machine. The module emphasizes hands-on learning, combining theoretical concepts with practical design and simulation exercises to develop a comprehensive understanding of digital sequential circuit design methodologies. 23 videos1 assignment | 4 modules | Intermediate level | 18 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/design-of-digital-circuits-with-vhdl-programming | null |
6,310 | Career Decisions: From Insight to Impact | 32,674 | 4.7 | 376 | Sharon Belden Castonguay | Wesleyan University | [] | I am an adult developmental psychologist by training and a career counselor by trade, currently the Director of the Gordon Career Center at Wesleyan University in Connecticut. In this course, I draw from my decades of experience as well as research from the fields of psychology, organizational behavior, and sociology to help you understand best practices for making career decisions. This content will help you develop the tools you need to make the right choices for you, from deciding an area of study to exploring potential lines of work to pursue—and knowing when to pivot at any time in your career. This module will introduce you to the course and ask "What is insight? Why is it important? What impact can personal insight have on your academic or professional goals?" We will also look at why people tend to prematurely foreclose on career options due to choice paralysis and occupational stereotypes. The exercises will help reveal how you go about making decisions. 6 videos1 reading2 assignments1 peer review This week we will explore how cultural norms, such as the American definition of "success", affect how we think about our academic and career choices. We will consider the role of family and friends in our decision making and how personal insight can help us distinguish our personal interests and goals from the expectations others have for us. We will also explore how our personal identities can affect how easily (or not) we navigate change in our lives. The exercises this week will reveal how you personally define success, as well as how your concepts of personal identity may be affecting how you experience change in your life. 4 videos2 assignments1 peer review What is more important: Passion for what you do or developing marketable skills? Can you get smarter if you work harder? What does academic research tell us about well-being and the role of finding meaning in our work? We will explore all these questions this week, and you will complete exercises that will allow you to consider the skills you have and need to develop as well as take stock of what you devote your time to now and what that reveals about your motivations. 6 videos2 assignments1 peer review This week we'll use a design thinking framework to learn how to broaden your exploration for possible working identities. You will also implement practical steps for making professional connections and learning more about specific fields of interest. Finally, you will complete a capstone project that pulls together all the concepts from the course and help you make your case for how you can make an impact on the world. 8 videos2 assignments1 peer review | 4 modules | Beginner level | null | https://www.coursera.org/learn/career-decisions | 98% |
6,311 | Understanding Clinical Research: Behind the Statistics | 178,941 | 4.8 | 3,447 | Juan H Klopper | University of Cape Town | ['Clinical Research', 'Statistics', 'Statistical Analysis', 'Statistical Hypothesis Testing'] | If you’ve ever skipped over the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves. If you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this course is your first step. It offers an easy entry into interpreting common statistical concepts without getting into nitty-gritty mathematical formulae. To be able to interpret and understand these concepts is the best way to start your journey into the world of clinical literature. That’s where this course comes in - so let’s get started!
The course is free to enroll and take. You will be offered the option of purchasing a certificate of completion which you become eligible for, if you successfully complete the course requirements. This can be an excellent way of staying motivated! Financial Aid is also available. Welcome to the first week. Here we’ll provide an intuitive understanding of clinical research results. So this isn’t a comprehensive statistics course - rather it offers a practical orientation to the field of medical research and commonly used statistical analysis. The first topics we will look at are research methods and data collection with a specific focus on study types. By the end, you should be able to identify which study types are being used and why the researchers selected them, when you are later reading a published paper. 11 videos11 readings1 assignment1 peer review1 discussion prompt We finally get started with the statistics. Have you ever looked at the methods and results section of any healthcare research publication and noted the variety of statistical tests used? You would have come across terms like t-test, Mann-Whitney-U test, Wilcoxon test, Fisher’s exact test, and the ubiquitous chi-squared test. Why so many tests you might wonder? It’s all about types of data. This week I am going to tackle the differences in data that determine what type of statistical test we can use in making sense of our data. 15 videos12 readings4 assignments1 peer review1 discussion prompt There is hardly any healthcare professional who is unfamiliar with the p-value. It is usually understood to have a watershed value of 0.05. If a research question is evaluated through the collection of data points and statistical analysis reveals a value less that 0.05, we accept this a proof that some significant difference was found, at least statistically.In reality things are a bit more complicated than that. The literature is currently full of questions about the ubiquitous p-vale and why it is not the panacea many of us have used it as. During this week you will develop an intuitive understanding of concept of a p-value. From there, I'll move on to the heart of probability theory, the Central Limit Theorem and data distribution. 14 videos12 readings4 assignments In general, a researcher has a question in mind that he or she needs to answer. Everyone might have an opinion on this question (or answer), but a researcher looks for the answer by designing an experiment and investigating the outcome. First, we will look at hypotheses and how they relate to ethical and unbiased research and reporting. We'll also tackle confidence intervals which I believe are one of the least understood and often misrepresented values in healthcare research. The most common tests used in the literature to compare numerical data point values are t-tests, analysis of variance, and linear regression. In the last lesson we take a closer look at these tests, but perhaps more importantly, their strict assumptions. 8 videos6 readings2 assignments1 peer review The most common statistical test that you might come across in the literature is the t-test. There are, in actual fact, a few t-tests, but the one most are familiar with, is of course, Student’s t-test and its ubiquitous p-value. Not everyone, though, knows that the name Student was actually a pseudonym, used by William Gosset (1876 - 1937). Parametric tests have very strict assumptions that must be met before their use is justified. In this lesson we take a closer look at these tests, but perhaps more importantly, their strict assumptions. Once you know these, you will be able to identify when these tests are used inappropriately. 15 videos6 readings3 assignments Congratulations! You've reached the final week of the course Understanding Clinical Research. In this lesson we will take a look at how good tests are at picking up the presence or absence of disease, helping us choose appropriate tests, and how to interpret positive and negative results. We’ll decipher sensitivity, specificity, positive and negative predictive values. You'll end of this course with a final exam, to test the knowledge and application you've learned in this course. I hope you've enjoyed this course and it helps your understanding of clinical research. 13 videos4 readings4 assignments | 6 modules | Beginner level | null | https://www.coursera.org/learn/clinical-research | 97% |
6,312 | Generative AI Automation Specialization | 5,695 | 4.9 | 262 | Dr. Jules White | Vanderbilt University | ['Problem Formulation for Generative AI', 'Prompt Engineering', 'Generative AI', 'ChatGPT', 'chain of thought prompting', 'prompt patterns', 'Large Language Models', 'Visualize complex data trapped in PDFs', 'Problem Formulation for Generative AI', 'Prompt Engineering', 'Generative AI', 'ChatGPT', 'chain of thought prompting', 'prompt patterns', 'Large Language Models', 'Visualize complex data trapped in PDFs'] | Step into the future of automation with our Generative AI Automation Specialization, a unique learning experience designed to make you adept at utilizing ChatGPT and other large language models to perform complex tasks with ease and innovation. Recognize the vast potential in your professional and personal life as you learn to apply AI capabilities that surpass the utility of your smartphone, from tutoring in math to writing sophisticated software. This program focuses on developing your ability to craft effective prompts—an essential skill for eliciting the emergent intelligence and advanced reasoning of generative AI tools and a cornerstone of becoming an expert user. Applied Learning Project Through hands-on exercises and in-depth analysis, you will learn how these AI models perceive, understand and respond, allowing you to supercharge your day-to-day productivity. Join us to unlock creative uses for AI, automate intricate tasks, and transform the way work is done with the power of prompt engineering. How to apply prompt engineering to effectively work with large language models, like ChatGPT How to use prompt patterns to tap into powerful capabilities within large language models How to create complex prompt-based applications for your life, business, or education Automate tasks in your work and life with ChatGPT Code Interpreter Automate reading and creating PDFs, PowerPoint, Excel, images, video, and more What problems actually make sense to solve with Generative AI How to frame problems and prompt engineer to produce more trustworthy results from Generative AI Take a picture of notes on a marker board, receipts, or napkin sketches and watch them be turned into well-organized notes and emailed to you Take a picture of anything and turn it into: a recipe, shopping list, DIY plans, a social media post, notes, budget entries, organizational plans Learn or analyze anything, take a picture of anything and learn its history, how it was made, what has changed, how to fix it, what it is, etc. | 4 course series | Beginner level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/generative-ai-automation | null |
6,313 | GIS Data Acquisition and Map Design | 30,649 | 4.9 | 691 | Don Boyes | University of Toronto | ['Spatial Analysis', 'Geographic Information System (GIS)', 'Mapping', 'Cartography', 'Esri'] | In this course, you will learn how to find GIS data for your own projects, and how to create a well-designed map that effectively communicates your message. The first section focuses on the basic building blocks of GIS data, so that you know what types of GIS files exist, and the implications of choosing one type over another. Next, we'll discuss metadata (which is information about a data set) so you know how to evaluate a data set before you decide to use it, as well as preparing data by merging and clipping files as needed. We'll then talk about how to take non-GIS data, such as a list of addresses, and convert it into "mappable" data using geocoding. Finally, you'll learn about how to take data that you have found and design a map using cartographic principles. In the course project, you will find your own data and create your own quantitative map. Note: software is not provided for this course. 8 videos1 reading2 assignments1 discussion prompt 8 videos1 assignment1 discussion prompt 9 videos1 reading1 assignment 17 videos1 reading1 assignment 13 videos1 reading1 assignment 8 videos1 reading1 assignment 1 peer review | 7 modules | Beginner level | null | https://www.coursera.org/learn/gis-data-acquisition-map-design | 98% |
6,314 | Planning & Design of Sanitation Systems and Technologies | 34,689 | 4.8 | 1,103 | Christoph Lüthi | École Polytechnique Fédérale de Lausanne | ['Urban Planning', 'Environmental Protection', 'Engineering Design', 'Wastewater Engineering'] | Do you want to learn how to plan affordable and context-specific sanitation solutions? Be up-to-date on the newest developments in urban sanitation planning and programming? Get to know best practice examples of urban sanitation systems in low- and middle-income countries? If yes, this course is for you! This course provides you with an introduction to integrated sanitation planning, both on a citywide scale and for specific contexts such as informal settlements. You will become familiar with different sanitation planning frameworks as well as different systems and technologies relevant along the sanitation value chain. You will learn why systems’ thinking is crucial for urban environmental sanitation, and how to apply key terminology and important concepts.
This course is one of four in the series “Sanitation, Water and Solid Waste for Development". www.eawag.ch/mooc (EN) In the first week of this course, we provide background on why sanitation, despite being one of the most important basic services due to its impact on public health and productivity, is often one of the least prioritised in low- and middle-income countries. We introduce the basics of urban sanitation planning and the crucial role of safely managed sanitation in urban development. You will become familiar with different sanitation planning approaches at citywide and neighbourhood level. *******************************************************************
(FR) Dans la première semaine de ce cours, nous expliquons pourquoi l'assainissement, bien qu'étant l'un des services de base les plus importants en raison de son impact sur la santé publique et la productivité, est souvent l'une des priorités les plus faibles dans les pays à revenu faible et intermédiaire. Nous présentons les bases de la planification de l'assainissement urbain et le rôle crucial d'un assainissement géré en toute sécurité dans le développement urbain. Vous vous familiariserez avec les différentes approches de planification de l'assainissement à l'échelle de la ville et du quartier. *********************************************************************
(ES) En la primera semana de este curso, proporcionamos antecedentes sobre por qué el saneamiento, a pesar de ser uno de los servicios básicos más importantes debido a su impacto en la salud pública y la productividad, es a menudo uno de los menos prioritarios en los países de ingresos bajos y medios. Introduciremos los fundamentos de la planificación del saneamiento urbano y el papel crucial de un saneamiento gestionado de forma segura en el desarrollo urbano. Se familiarizará con diferentes enfoques de planificación del saneamiento a nivel de ciudad y de barrio. 12 videos7 readings (EN) After getting to know different sanitation planning planning approaches in the first week of this course, you will learn about the key terminology and concepts used in the systems approach to environmental sanitation. We will also explore why systems thinking is crucial for urban environmental sanitation and start with a deep dive into the technical aspects of different sanitation systems, starting with the functional groups.
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(FR) Après avoir fait connaissance avec les différentes approches de planification de l'assainissement au cours de la première semaine de ce cours, vous apprendrez la terminologie et les concepts clés utilisés dans l'approche systémique de l'assainissement environnemental. Nous explorerons également les raisons pour lesquelles la pensée systémique est cruciale pour l'assainissement environnemental urbain et nous commencerons par une plongée en profondeur dans les aspects techniques des différents systèmes d'assainissement, en commençant par les groupes fonctionnels.
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(ES) Tras conocer diferentes enfoques de planificación del saneamiento en la primera semana de este curso, presentaremos la terminología y los conceptos clave utilizados en el enfoque sistémico del saneamiento ambiental. También exploraremos por qué el pensamiento sistémico es crucial para el saneamiento ambiental urbano y comenzaremos con una inmersión profunda en los aspectos técnicos de los diferentes sistemas de saneamiento, empezando por los grupos funcionales. 12 videos2 readings1 quiz1 discussion prompt (EN) During week 3, you will continue exploring the technical aspects of different sanitation systems, from simple single pit system to more complex centralized or semi-centralised treatment systems.
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(FR) Au cours de la troisième semaine, vous continuerez à explorer les aspects techniques des différents systèmes d'assainissement, du simple système à fosse unique aux systèmes de traitement centralisés ou semi-centralisés plus complexes.
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(ES) Durante la semana 3, continuaremos explorando los aspectos técnicos de los diferentes sistemas de saneamiento, desde el sencillo sistema de una sola fosa hasta sistemas de tratamiento centralizados o semicentralizados más complejos. 11 videos3 readings1 assignment (EN) In this week, we contextualise what you have learned in the previous weeks about existing planning frameworks and sanitation systems and technologies. We introduce the project management cycle and selected sanitation planning tools currently used in sanitation planning.
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(FR) Cette semaine, nous contextualisons ce que vous avez appris au cours des semaines précédentes sur les cadres de planification existants et sur les systèmes et technologies d'assainissement. Nous présentons le cycle de gestion de projet et certains outils de planification de l'assainissement actuellement utilisés dans la planification de l'assainissement.
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(ES) En esta semana, contextualizamos lo aprendido en las semanas anteriores sobre los marcos de planificación existentes y los sistemas y tecnologías de saneamiento. Presentamos el ciclo de gestión de proyectos y algunas herramientas de planificación del saneamiento utilizadas actualmente en la planificación del saneamiento. 5 videos8 readings1 discussion prompt (EN) Finally, in week 5 we present examples of urban sanitation best practice and failed cases from around the world. We present selected case studies in which different sanitation solutions from neighbourhood to national scale are trialed or already fully established.
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(FR) Enfin, la semaine 5 présente des exemples de bonnes pratiques et d'échecs en matière d'assainissement urbain dans le monde entier. Nous présentons des études de cas sélectionnées dans lesquelles différentes solutions d'assainissement, du quartier à l'échelle nationale, sont testées ou déjà bien établies.
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(ES) Por último, en la semana 5 presentamos ejemplos de buenas prácticas de saneamiento urbano y casos fallidos de todo el mundo. Presentamos estudios de casos seleccionados en los que se prueban o ya están plenamente establecidas diferentes soluciones de saneamiento, desde escala vecinal hasta nacional. 5 videos7 readings1 quiz1 discussion prompt | 5 modules | Intermediate level | null | https://www.coursera.org/learn/sanitation | 99% |
6,315 | Introduction to Automotive Cybersecurity & Vehicle Networks | Enrollment number not found | Rating not found | null | Lluis Foreman | Starweaver | ['Security Implementation', 'Risk Assessment', 'Cryptographic Application', 'Regulatory Compliance Understanding', 'Vulnerability Assessment'] | This course provides an in-depth look into the evolving field of automotive cybersecurity, emphasizing the importance of securing vehicle networks against cyber threats. As vehicles become increasingly connected and reliant on digital technologies, the risk of cyber-attacks grows. This course covers foundational concepts and frameworks in automotive cybersecurity, progresses through specific applications and real-world examples and concludes with concrete skills and competencies related to securing automotive systems. Learners will explore the intricacies of vehicle networks, potential vulnerabilities, and the latest strategies for defense. This course serves automotive engineers, cybersecurity professionals, product managers, policy makers, and technically-minded automotive enthusiasts. It covers vehicle-specific cybersecurity challenges, threats, defenses, and the impact on product development and safety, aiding in informed regulation and understanding of automotive innovation.
Participants should have a basic understanding of cybersecurity principles, familiarity with automotive systems and technologies, and knowledge of computer networks and their vulnerabilities. An interest in automotive innovation will help contextualize the cybersecurity challenges and solutions discussed in the course.
By the end of the course, participants will be able to describe vehicle network architecture and identify potential cybersecurity threats. They will analyze the impact of vulnerabilities on automotive systems and apply strategies to enhance network security. Participants will also evaluate the effectiveness of various cybersecurity measures in the automotive context, enabling informed decisions to protect vehicles against cyber threats. This module provides an overview of the significance of cybersecurity in the automotive industry, covering its history, basic concepts and current threats to vehicle networks. It also introduces strategies for protecting these systems. 10 videos4 readings1 assignment2 discussion prompts This module delves into the principles and practices of developing secure automotive systems, covering cryptography, secure design principles, risk management and stakeholder involvement. 10 videos3 readings1 assignment2 discussion prompts This module explores advanced technologies and strategies for securing automotive systems, focusing on Vehicle-to-Everything (V2X) communications, intrusion detection and response and the implications of AI, electric, hybrid and autonomous vehicles on cybersecurity. 10 videos3 readings1 assignment2 discussion prompts This module focuses on creating a robust cybersecurity framework for automotive systems. It covers project management, cybersecurity standards, best practices, security testing and validation, the importance of governance, policy and leadership in maintaining cybersecurity. 11 videos3 readings1 assignment2 discussion prompts | 4 modules | Beginner level | 6 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/introduction-to-automotive-cybersecurity-vehicle-networks | null |
6,316 | Foundations of Advanced Wireless Communication | Enrollment number not found | Rating not found | null | Abhay Kumar Sah | IIT Roorkee | ['A basic understanding of matrices and probability', 'MATLAB programming skills'] | This course focuses on advanced, yet essential concepts, techniques, and algorithms needed for understanding and designing modern wireless communication systems. You will begin this course by exploring the basics of wireless channels, followed by the need for multi-antenna systems. You will further learn about the two seminal multi-antenna technologies: MIMO and massive MIMO. The first is the basis for 4G systems, and the second is the same for 5G systems. You will also learn the multiple access techniques like orthogonal frequency division multiplexing (OFDM) and non-orthogonal multiple access (NOMA) and the basics of mmWave communications . This module provides an overview of the course content and structure. In this module, you will learn about the different course elements. In this module, you will get acquainted with your instructor and get an opportunity to introduce yourself and interact with your peers. 3 videos1 reading1 discussion prompt In this module, you will learn about the basics of wireless communication. We will try to answer a few questions, such as why wireless and what are the applications of different generations of wireless technologies. The module also discusses the system model for a wireless channel which will form the foundation for all mathematics carried out in this course. 9 videos5 readings2 assignments1 discussion prompt In this module, you will learn about multi-antenna wireless systems. The module will discuss different antenna configuration setups, such as the single-input multiple-outputs (SIMO), multiple-input single-output (MISO), and the multiple-input multiple-outputs (MIMO) . You will learn how to derive the bit-error rate of a multi-antenna system. This module will also discuss various receive combining techniques. 5 videos1 reading This module focuses on the capacity analysis for a multi-antenna system. You will learn how to calculate the capacity of single-input single-output (SISO), single-input multiple-output (SIMO), multiple-input single-output (MISO), and multiple-input multiple-output (MIMO) systems. 4 videos2 readings2 assignments1 discussion prompt This module focuses on how received signals are demodulated with and without the channel state information and which kind of receiver performs well under different scenarios. You will also learn about the different channel assumptions, such as fixed channel, no channel information at the transmitter/receiver, slow-fading channel, and fast-fading channel. 3 videos1 reading1 discussion prompt This module will focus on ways to increase a cellular network’s overall throughput. The module analyses the spectral efficiency for different configurations of cellular networks, for example, single/multiple-antenna at the base station, single/multiple users in a cell, and two-cell/multiple-cell in a cellular network . You will gain insights into which network configuration best suits maximizing the area throughput. The impact of the increase in antenna/users/cells will be discussed in detail, with spectral efficiency as the metric. The module will consider different channel settings, such as line-of-sight and non-line-of-sight. Also, you will learn how antenna placement affects channel modeling. 7 videos3 readings2 assignments In this module, you will work on the first project of the course. This project is based on the concepts covered in Week 1-Week 3. This module provides the tasks required to complete the project, instructions to complete and submit the assignment, and the criteria for how your instructor will grade your submission. 1 assignment This module will act as a bridge between multi-user MIMO and massive MIMO systems. The module will explain when a multi-user MIMO system can be called a massive MIMO system. You will learn about different properties of massive MIMO, for example, channel hardening and favorable propagation. You will learn why channel estimation is an important aspect, mainly when you consider a massive MIMO system. The focus will be on how to calculate an estimate of channels with limited overhead. Further, it will discuss different ways to estimate channels, such as the minimum mean square error (MMSE), least-square (LS), semi-blind, and superimposed channel estimation techniques. 6 videos2 readings2 discussion prompts In this module, you will learn the need to shift the operating frequency bands of the upcoming wireless systems towards the mmWave frequency bands. You will also learn the challenges involved in realizing such systems. Subsequently, you will learn to characterize the mmWave channel models, specifically the narrowband and wideband models. Later, you will be exposed to the key design consideration for modeling a mmWave system. 3 videos2 readings In this module, you will understand the role of beamforming in a wireless system. You will begin by learning the three beamforming architecture types: analog, digital, and hybrid. Subsequently, you will be exposed to modeling the uplink and downlink systems utilizing these beamforming architectures. Lastly, you will comprehend the beamforming objectives and learn a few selected algorithms for achieving the same. 3 videos2 readings2 assignments In this module, you will learn how the channel property changes and causes an inter-symbol interference when we start realizing a wideband system, resulting in severe performance degradation. You will further learn how a multi-carrier modulated system can combat such degradation and pave the way for a widely accepted and commercialized technique known as “orthogonal-frequency division multiplexing (OFDM).” The module will discuss the OFDM system model and its performance characterization. Subsequently, the model will be extended for a multiple-input multiple-output (MIMO) system. You will also learn a few of the selected realization issues of the OFDM system. 9 videos5 readings2 assignments1 discussion prompt In this module, you will learn how introducing an overlapping (i.e., a non-orthogonal) resource allocation can help in improving the overall throughput of the wireless system. The first part of the module will describe the basics of non-orthogonal multiple access (NOMA), considering a two-user scenario. The focus will be on developing an understanding of its transmitter and receiver structure and the constituent algorithms. Subsequently, the second part of the module will extend the idea to multi-user scenarios and multiple antenna cases. Lastly, this module will discuss a few of the other popular forms of NOMA. 6 videos3 readings2 assignments1 discussion prompt In this module, you will work on the second project of the course. This project is based on the concepts covered in Week 4-Week 6. This project includes two parts: Part I and Part II. Part 1 is an auto-graded quiz. Part II is a staff-graded assignment, which will be evaluated by the instructor. 1 video2 assignments | 13 modules | Intermediate level | 43 hours to complete (3 weeks at 14 hours a week) | https://www.coursera.org/learn/foundations-of-advanced-wireless-communication | null |
6,317 | Introduction to Chemistry: Reactions and Ratios | 123,094 | 4.7 | 1,238 | Prof. Dorian A. Canelas | Duke University | [] | This is an introductory course for students with limited background in chemistry; basic concepts involved in chemical reactions, stoichiometry, the periodic table, periodic trends, nomenclature, and chemical problem solving will be emphasized with the goal of preparing students for further study in chemistry as needed for many science, health, and policy professions. Over the seven weeks of Introduction to Chemistry: Reactions and Ratios, you will be able to progress from a most basic knowledge of matter and energy to solving interesting real world chemical reaction stoichiometry problems. Each lesson in the course introduces some new concepts that allow you to build upon the material from previous lessons, so completing the coursework in the order that it is delivered will be most beneficial for developing a thorough understanding of synthesized information. This course is intended for students with very little background in the subject, but a strong foundation in algebra is needed to solve some of the problems.In the first unit, the course will first introduce the basic concepts of scientific methods and measurement. Then we will talk about matter, energy, and stoichiometry. Last, we prepared several lab demonstrations by Dr. Ken Lyle. I hope that you are as excited as I am to this amazing world of chemistry! Good luck! 12 videos2 readings2 assignments <p>If you are interested in significant figures in more detail, here are some <a href="https://www.khanacademy.org/math/pre-algebra/decimals-pre-alg/sig-figs-pre-alg/v/significant-figures" target="_blank">good videos</a> to follow on Khan Academy.</p><p>This week we will continue our explorations of matter and energy. We will discuss the sub-atomic particles that govern chemical reactions, isotopes, anions, and cations. We will learn how to name compounds, calculate formula masses, convert between grams and moles, examine periodic trends, and more! An advanced problems set is posted now; that is a longer assignment and is optional unless you would like to be eligible for the Honor’s Track. You can still earn a regular verified certificate without completing the advanced problem sets, so please be sure to keep working on the normal weekly exercises.</p> 9 videos2 assignments <p>In this week's videos and exercises (aka quizzes), we will learn how to name compounds, calculate formula masses, convert between grams and moles, examine periodic trends, and more!</p><p>I hope you enjoyed the last two weeks of learning chemistry. Great work on watching videos, posting on the discussion forum and submitting your exercises!</p> 7 videos1 assignment <p>Week 4 for Introduction to Chemistry: Reactions and Ratios is about to begin! This week will be filled with introductions to chemical compositions, chemical reaction terminology, and reaction calculations.</p><p>If any of the following questions interest you, then watching this week's videos and doing some practice problems are probably a good way to get started! How much sodium is in my diet? What amount of pollutants are in drinking water? How much iron is in iron ore for steel production? These of the types of problems you will be able to address this week.</p> 7 videos2 assignments <p>In the past five weeks of the course, we have learned concepts, rules, and skills, including but not limited to: the definitions of atoms, elements, molecules, and compounds; energy changes; Coulomb’s Law, molecular stoichiometry; atomic structures; periodic trends; the mole; compounds; atomic and molecular masses; molecular stoichiometry; balancing chemical equations.</p><p>In this coming week, we will be discussing aqueous solutions, solubility rules, precipitations and electrolytes! We are also going to learn the first type of chemical reaction equation in this course: Dissolutions.</p> 9 videos1 assignment <p>We are almost at the end of our course! I hope this has been a rewarding experience for you because I know that the course is not an easy one and it is relatively long. So kudos to everyone who has made it this far!</p><p>Week 6 for Introduction to Chemistry: Reactions and Ratios will include very basic introductions to acid-base and redox reactions. We will also practice combining what we know from previous weeks to complete reaction calculations.</p> 6 videos2 assignments Congratulations on making through to the final week of the course! It was not an easy journey for the past six weeks with dozens of videos, exercises, problem sets, and forum discussions. Kudos to the many of you who completed the honors lessons on top of the other work. I am proud of all of you! 2 assignments | 7 modules | Beginner level | null | https://www.coursera.org/learn/intro-chemistry | 94% |
6,318 | The Business of Product Management I | 33,726 | 4.5 | 768 | Nancy Wang | Advancing Women in Tech | ['Tech Leadership', 'Go-to-market Strategy', 'Product Management', 'Product/Market Fit', 'B2B Sales'] | Learn to excel in product management roles while learning directly from industry-leading product managers and real-world case studies from Amazon, Intuit, Procter and Gamble, Barnes and Noble, Whole Foods, Google, Twitter, Tesla, Dropbox, Eventbrite, Blue, Samson, Coffee Meets Bagel, Mixpanel, and more! Featuring expert product manager instructors including:
* NANCY WANG, Head of Data Protection Services, Amazon Web Services; Founder and CEO, Advancing Women in Product
* WAYNE DUSO, Vice President for Edge Computing, File Services, and Data Services, Amazon Web Services
* ARUM KANG, Co-Founder & CEO, Coffee Meets Bagel
* AMIR MOVAFAGHI, CEO, Mixpanel; former Global Head of Business of Operations, Twitter.
Sponsored by AMAZON WEB SERVICES (AWS).
This is the first of four courses in the ACE Recommended Real-World Product Management Specialization. When you complete all four courses, you can earn up to 6 college credits. Join Advancing Women in Tech and AWS in this product management specialization as we raise the bar on product management courses! 7 videos2 readings1 assignment2 discussion prompts Leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. But the term "customer" is overused: customer service, customer segmentation, customer journeys, customer personas, customer empathy, customer satisfaction, the customer is always right. Learn how to systematically delight your customers with AWIT and AWS! 9 videos3 assignments2 peer reviews2 discussion prompts Leaders are owners. They think long term and don’t sacrifice long-term value for short-term results. Two tools AWIT and AWS recommend to help PMs like you think long term are the PRD (product requirements document) and the PRFAQ (press release/frequently asked questions). This week, you'll draft and critique both! 8 videos1 reading2 assignments2 peer reviews Thinking small is a self-fulfilling prophecy. Leaders create and communicate a bold direction that inspires results. They think differently and look around corners for ways to serve customers. Join AWIT and AWS to learn how to communicate your own bold direction, whether to customers, investors, or the world! 14 videos1 reading3 assignments2 peer reviews1 discussion prompt | 4 modules | Beginner level | null | https://www.coursera.org/learn/the-business-of-product-management-one | 88% |
6,319 | Artificial Intelligence in Social Media Analytics | Enrollment number not found | Rating not found | null | Ian McCulloh | Johns Hopkins University | ['Topic Modeling', 'Text Processing', 'Machine Learning Classification', 'Sentiment Analysis Techniques', 'Building Semantic Networks'] | In the course "Artificial Intelligence in Social Media Analytics", learners will explore the intersection of artificial intelligence and social media analytics, equipping them with essential skills to navigate and analyze digital landscapes. By delving into machine learning fundamentals, natural language processing, sentiment analysis, and topic modeling, participants will gain practical experience in applying AI techniques to real-world social media data. This course stands out by providing not only theoretical insights but also hands-on opportunities to construct classifiers, perform sentiment analysis, and build semantic networks, all tailored to the complexities of social media content. As learners progress, they will develop a keen understanding of how AI can uncover hidden patterns, sentiment, and topics within vast amounts of unstructured data. The unique blend of foundational concepts and practical applications ensures that participants can effectively analyze social media interactions and derive actionable insights. Whether for career advancement or personal interest, this course offers a comprehensive toolkit to leverage AI for understanding social dynamics and enhancing engagement strategies in digital platforms. This course introduces the fundamentals of machine learning and its application to social media content analysis. Participants will learn to evaluate classifiers, perform text processing and sentiment analysis, and implement topic modeling techniques. By the end, students will be equipped to build semantic networks and address challenges in natural language processing. 1 reading1 plugin In this module, you will explore the fundamentals of machine learning (ML) from theory to application. You will also be able to define ML and learn to assess its performance. Additionally, you will gain practical experience constructing and evaluating ML classifiers. You will be able to compare the effectiveness of various ML models like Decision Trees, understanding their role in operationalizing data and the importance of data normalization in achieving optimal results. 5 videos3 readings3 assignments In this module, you will explore the foundational aspects of Natural Language Processing (NLP) in the context of social media. You will also learn essential techniques such as text pre-processing using NLTK, understanding Part of Speech (PoS) tagging and parsing challenges, and leveraging advanced models like BERT. Along with this, you will gain insights into the history of NLP and tackle specific challenges associated with parsing social media text, preparing you to analyze and interpret digital content effectively. 5 videos3 readings3 assignments1 ungraded lab In this module, you will delve into the intricacies of sentiment analysis, exploring its various types such as Sentiment 140 and Aspect-Based Sentiment Analysis. You will understand the methodologies and tools used to perform sentiment analysis on social media content. You will also get a chance to address the challenges inherent in sentiment analysis and discuss emerging research trends aimed at enhancing accuracy and applicability in diverse contexts. 4 videos2 readings3 assignments1 ungraded lab In this module, you will dive deep into Topic Modeling, focusing on Latent Dirichlet Allocation (LDA) and its variants. You will learn to apply these techniques to analyze and extract topics from social media content. You will also explore how to construct semantic networks tailored for social media applications, enhancing your ability to uncover hidden thematic structures and insights within textual data. 4 videos2 readings3 assignments1 ungraded lab | 5 modules | Intermediate level | 16 hours to complete (3 weeks at 5 hours a week) | https://www.coursera.org/learn/artificial-intelligence-in-social-media-analytics | null |
6,320 | Budgeting essentials and development | 25,171 | 4.5 | 276 | Fernando Fleury | Fundação Instituto de Administração | [] | The Budgeting Essentials and Development course focus on an integrative and practical view of concepts, methods, and techniques to develop a budget. After finishing this course, learners will be able to:
- Develop the budget with a broad view of the corporate functions;
- Integrate the strategic guidelines into the discussions of budgeting process;
- Structure the budget planning and development in a logical sequence
- Coordinate the project of budget planning with the different areas of the company
- Actively promote assumptions discussions to improve the process of developing the budget
- Apply financial concepts to support the budget planning process
- Design a budget monitoring and control model to support the performance management
- Evaluate the performance of the company by managing the results and the budget
In this course, learners will have a deeper understanding of the budgeting process, its challenges, common issues, and approaches to mitigate the problems and improve the learning curve of budget planning.
It is integrative by emphasizing the transition between the corporate strategy and the budget. It is practical by following a structured process of going through a framework that illustrates and demonstrates how to analyze, develop and control the budget. As the budgeting process needs strategic guidelines, and these guidelines drive the planning process, corporate managers develop the budget plan accordingly to the strategic guidelines.The budget contributes to the roll-out of programs, projects, and actions to implement in the organization. These programs and projects are planned in the budget development process. In this module of the course, the discussions aim to overview the transition between strategy to the budget planning process.
The course is targeted to professionals who actively participate in the budgeting process, e.g., professionals who have been recently promoted to a managing position, in which the scope of responsibilities are broader, especially in the budget planning, monitoring, and control.
Pre-requisites to benefit the most from this course is basic to intermediate business management knowledge and concepts. 7 videos3 readings4 assignments The corporate budgeting process begins with the strategic guidelines, goes through the discussions of what may be the influence of the guidelines on the assumptions, and culminate in supporting the budget planning process. In this module, the discussions are about the aspects related to this process. Learning objectives include understanding the link between corporate budgeting and the business unit budgeting process; aligning strategic guidelines with planning guidelines, and assessing the connections of the corporate budget to the business level budget. 9 videos7 readings5 assignments In this module, the discussion goes through a step-by-step framework to support the budget development.
Each of the steps represents a relevant component of the budget, and the links between the budget of each area of the company are discussed.
The integration of the different area's budget is one of the primary objectives of this module, which will lead learners to an integrative view of the budget development.
And this integration is the key learning objective of the module. 18 videos18 readings4 assignments In this module, the discussion goes through a step-by-step framework to support the budget development.
Each of the steps represents a relevant component of the budget, and the links between the budget of each area of the company are discussed.
The integration of the different area's budget is one of the primary objectives of this module, which will lead learners to an integrative view of the budget development.
And this integration is the key learning objective of the module. 12 videos11 readings3 assignments In this module, we will develop an understanding of how to consolidate the reporting model on the budget, through a financial approach with emphasis on a budget perspective. To build this knowledge, we will walk through a conceptual overview and components, visit an overall managerial view of profits and losses, work on the cash budget and forecasting cash-flow concepts and application. We also discuss the accounting reports and the relevance of the financial and non-financial indicators. 8 videos4 readings4 assignments This module focuses on the “control” side of the budget. We understand how to apply concepts, and will be guided on how to monitor and measure results, analyze and evaluate the potential gaps between actual and estimated outcomes. 9 videos4 readings5 assignments Approaches and evolution: In this module, you will learn by reflecting about the different approaches to planning processes. We will walk with you through the aspects of efficiency and efficacy, connecting with budgeting. We will also debate traditional versus some trended methodological approaches, their benefits, and limitations. This Module closes our Course. 10 videos8 readings4 assignments | 7 modules | Intermediate level | null | https://www.coursera.org/learn/budgeting-essentials-development | 95% |
6,321 | ML Pipelines on Google Cloud | 13,225 | 3.2 | 84 | Google Cloud Training | Google Cloud | [] | In this course, you will be learning from ML Engineers and Trainers who work with the state-of-the-art development of ML pipelines here at Google Cloud. The first few modules will cover about TensorFlow Extended (or TFX), which is Google’s production machine learning platform based on TensorFlow for management of ML pipelines and metadata. You will learn about pipeline components and pipeline orchestration with TFX. You will also learn how you can automate your pipeline through continuous integration and continuous deployment, and how to manage ML metadata. Then we will change focus to discuss how we can automate and reuse ML pipelines across multiple ML frameworks such as tensorflow, pytorch, scikit learn, and xgboost. You will also learn how to use another tool on Google Cloud, Cloud Composer, to orchestrate your continuous training pipelines. And finally, we will go over how to use MLflow for managing the complete machine learning life cycle.
Please take note that this is an advanced level course and to get the most out of this course, ideally you have the following prerequisites:
You have a good ML background and have been creating/deploying ML pipelines
You have completed the courses in the ML with Tensorflow on GCP specialization (or at least a few courses)
You have completed the MLOps Fundamentals course.
>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<< This module introduces the course and shares the course outline 1 video3 readings 8 videos1 assignment1 app item 4 videos1 assignment1 app item 4 videos1 assignment1 app item 3 videos1 assignment1 app item 5 videos1 assignment1 app item 6 videos1 assignment1 app item 9 videos1 assignment 1 video | 9 modules | Advanced level | 10 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/ml-pipelines-google-cloud | null |
6,322 | Responsible Conduct of Research | Enrollment number not found | 4.8 | 13 | Mariëtte van den Hoven | Utrecht University | [] | As a PhD student in academia, there are difficulties you may encounter in the area of integrity, such as power relations and issues around social safety, authorship, intellectual property, and ensuring academic quality. How can you properly determine the order of authorship? In what way can social safety be improved? How do others deal with integrity issues? We have developed the MOOC "Responsible Conduct of Research" in which we take you through these topics and provide ideas on how to become a responsible researcher, who feels empowered by knowledge of integrity. 6 modules will guide you in 7 hours through important topics, including examples, a lecture, expert views and experiences and the opportunity to investigate your own research practice. A certificate will be provided to participants who completed every part.
This course was developed in the H2020 Integrity project by Mariëtte van den Hoven, Miriam van Loon, Hesther van Gulick and Eline Borsboom, and funded by EU H2020. 2 videos5 readings2 discussion prompts 3 videos2 readings1 assignment1 discussion prompt 3 videos2 readings1 assignment1 discussion prompt 3 videos2 readings1 assignment1 discussion prompt 3 videos2 readings1 assignment1 discussion prompt 2 readings1 peer review1 discussion prompt | 6 modules | Beginner level | 7 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/research-integrity | null |
6,323 | American Politics, Society, and History | Enrollment number not found | Rating not found | null | Dr. Rajdeep Pakanati | O.P. Jindal Global University | ['analytical thinking', 'Cultural Awareness', 'Polictal Knowledge'] | Welcome to the American Politics, Society, and History course! This course seeks to provide learners with a comprehensive understanding of American history, politics, society, and culture. The United States has been a beacon in the international community as a constitutional liberal democracy. Through this course, you will gain insight into the historical evolution of the US from a constitutional perspective and provide an overview of the government in the US. You will also look at how critical social factors like race, ethnicity, and gender inform the evolution of American society. You will further look at what American culture is and how it is constantly evolving over time. In this module, you will explore the roots of the US liberal constitutional order and its core functions and impact around the world. With the first written constitution in the world, every written constitution is a child of the US constitution in a limited sense. This heritage is most pronounced in democracies with a common-law tradition. The US itself inherited both the common law and the roots of its liberal order from Britain and has passed on and shared that tradition. India’s founding generation was very mindful of US’ experience in drafting the Indian constitution. This module also considers the elements of that liberal constitutional order in the US and India, and in other countries around this region. This tradition is not without failings, and the module assesses the life of this constitutional order and its capacity to meet its many challenges. 11 videos2 readings4 assignments1 discussion prompt In this module, you will learn about the key tenets of American democracy by looking at the US Constitution that enshrines a federal structure of the government and protects the civil liberties and civil rights of the people. The module also analyzes the functioning of the American government by looking at how public opinion and interest groups shape the American political system and the role played by the political parties during campaigns and elections. You will also gain an insight into the functioning of the four political institutions–the Congress, the Presidency, the Bureaucracy, and the Judiciary. Finally, the module also analyzes the foreign and defense policymaking of the United States. 9 videos1 reading4 assignments1 discussion prompt In this module, you will learn about the history of race relations in the United States emphasizing the experience of Black Americans. The module starts with an overview of the enslavement of Black Americans and how even today, there is a struggle to dismantle systemic racism. You will also learn about the Civil Rights movement in the 1950s and 1960s when enormous turmoil erupted, but at the same time, many historic gains were made. The module also focuses on key leaders such as Dr. Martin Luther King, Jr. and Malcolm X. You will analyze landmark court decisions and legislative achievements and gain insight into the Civil Rights movement’s successes, tactics, personalities, and its seismic impact on the American society. Besides that, the module discusses the stubborn persistence of racial discrimination and systemic bias, how that led to the murder of George Floyd in 2020, and the country’s explosive reaction to his death. Lastly, you will also learn about the many different racial and ethnic communities in the United States and how that diversity significantly strengthens to American society. 9 videos6 readings4 assignments1 discussion prompt In this module, you will learn about the history of gender in America with a specific focus on women in America from the pre-colonial period to the turn of the 20th and the 21st century. The module also analyzes the significant cultural, economic, and political developments that shaped the lives of American women. You will also gain an insight into the ways that gender constructions, gendered social norms, and gendered laws have affected American women. 8 videos9 readings3 assignments1 discussion prompt In this module, you will learn how the US can sometimes be called a melting pot, where different cultures from around the world come together, mix, and create something brand new. But on the other hand, America can be described as not a singular culture, but more like a quilt where different groups and practices are stitched together but wholly different. You will further learn that whatever it may be, one thing that cannot be denied is the role that American culture—literature, music, film, art, and more has had on the world. This module will cover the complexities of American culture or cultures, the large influences from often marginalized Americans have had on everything from rock and roll to the unique American spirituality, and the role that individuality and legacy have played in creating American culture. 9 videos1 reading4 assignments1 discussion prompt | 5 modules | Beginner level | 58 hours to complete (3 weeks at 19 hours a week) | https://www.coursera.org/learn/american-politics-society-and-history-mooc | null |
6,324 | Intermediate Object-Oriented Programming for Unreal Games | 2,923 | 4.9 | 15 | Dr. Tim "Dr. T" Chamillard | University of Colorado System | [] | This course is the fourth and final course in the Specialization about learning how to develop video games using the C++ programming language and the Unreal game engine on Windows or Mac. This course assumes you have the prerequisite knowledge from the previous three courses in the specialization. You should make sure you have that knowledge, either by taking those previous courses or from personal experience, before tackling this course. Throughout this course you'll build on your foundational C# and Unity knowledge by developing more robust games with better object-oriented designs using file input and output, inheritance and polymorphism, and event handling.
This course gives you even more tools to help you build great games with C++ and Unreal!
Module 1: Start using files to implement your Unreal games
Module 2: Learn how inheritance and polymorphism help us write less code for our games
Module 3: Implement event handling to make better object-oriented designs and add menus to your Unreal games
Module 4: Explore the complete implementation of a small Unreal game In this module, you'll learn how exceptions are thrown when something bad happens as our program executes and how to handle those exceptions. You'll also learn about file IO, which is incredibly useful both in console apps and in Unreal games. 15 videos7 readings1 assignment1 discussion prompt In this module, you'll learn about inheritance and polymorphism, two of the most powerful features in object-oriented programming languages, including C++. You'll also see inheritance in action in a small Unreal game. 14 videos4 readings1 programming assignment1 discussion prompt In this module, you'll learn how to use events and event handling in your game. Developing our games this way leads to much better object-oriented designs, where objects don't have to know about lots of other objects in the game. You'll also learn how to use Unreal Motion Graphics (UMG) and Slate Widgets to implement menus in your games. 12 videos6 readings1 programming assignment1 discussion prompt In this module, we'll go through the implementation details of a complete (small) game. You'll see many of the concepts we covered in this course (and previous courses in the Specialization as well) in action, and you'll see a few new things as well. 8 videos1 assignment1 discussion prompt | 4 modules | Intermediate level | 15 hours to complete (3 weeks at 5 hours a week) | https://www.coursera.org/learn/intermediate-object-oriented-programming--unreal-games | null |
6,325 | Introduction to Object-Oriented Programming in C++ | 11,757 | 4.7 | 143 | Dr Matthew Yee-King | University of London | ['C++', 'Control Flow', 'Command-Line Interface', 'Compiler', 'Object-Oriented Programming (OOP)'] | This course is the first of five courses aiming to help you to become confident working in the object-oriented paradigm in the C++ language. This specialisation is for individuals who want to learn about objected oriented programming. It's an all-in-one package that will take you from the very fundamentals of C++, all the way to building a crypto-currency exchange platform.
During the five courses, you will work with the instructor on a single project: a crypto-currency exchange platform. Whilst building the project, you will learn about a range of programming techniques from basic control flow and input/output through to file parsing, object-oriented techniques and user interaction on the console.
In this first course, you will get started with C++ by writing, building and running your first program. You will then learn about text input/output, if statements and loops by building an interactive menu system for the crypto-currency exchange platform. Upon completing the course, you will be able to:
* Write, compile and run a C++ program that prints messages to the console
* Use the standard library to do text I/O in the console
* Write and call simple functions
* Use a while loop to repeatedly receive and respond to user input This week you will learn about the C++ edit, compile and run cycle, and text I/O. 9 videos7 readings2 quizzes5 assignments1 peer review2 discussion prompts2 ungraded labs This week you will learn more about text I/O and functions. 6 videos2 readings6 assignments3 discussion prompts2 ungraded labs | 2 modules | Intermediate level | null | https://www.coursera.org/learn/cplusplus-crypto-i | 97% |
6,326 | Managing Major Engineering Projects Specialization | 14,762 | 4.7 | 866 | Dr Giorgio Locatelli | University of Leeds | ['Project Management', 'Engineering Projects', 'major projects', 'Engineering management', 'Project Management', 'Engineering Projects', 'major projects', 'Engineering management'] | Accelerate your career by improving your project management skills. This Specialization delivers a rigorous exploration of the best practices for planning and delivering these major engineering projects. You’ll learn about the measures of success, how to resolve challenges of governance and typical financing approaches of these projects. If you are an engineer or a project manager and you aspire to get involved with major engineering projects, or you are already working on one, then this Specialization is for you. Master your project management skills and prepare to develop your career in engineering. This specialization is based on content from theOnline MSc in Engineering ManagementOpens in a new tab. If you interested to develop your career further, take a look atour online degree.Opens in a new tab Applied Learning Project The projects for this specialization give you the opportunity to develop your skills in relation to real-life case studies. You will develop templates, tools and presentations to demonstrate your mastery of engineering project management techniques. Preparation for the projects will involve research into your chosen case study, and you will be encouraged to reflect on how the outcomes of your research might change the practices or approaches in your profession. Understand the key phases of a project life cycle Discriminate between projects, programmes and portfolios and identify the key characteristics of major projects Define forms of bias and strategic misinterpretation and ways of mitigating against them Analyse the cost and time performance indicators of major projects Identify key stakeholders in major projects and understand stakeholder management Understand the governance of major projects and its challenges and learn how governance informs project management Understand strategic risk management and how to manage opportunities and risks Understand the theory and practice of scope management Understand major project financing and key financial indicators used in major project finance Identify the key investors in major projects Explore different approaches to project contracting and learn how to ensure successful project initiation Understand how to assess an organisation's capabilities Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. | 3 course series | Intermediate level | 2 months (at 10 hours a week) | https://www.coursera.org/specializations/managing-major-engineering-projects | null |
6,327 | Fundraising and Development Foundations | 21,326 | 4.7 | 292 | Angela Joens | University of California, Davis | [] | In this course, you will gain an introduction to the basic terminology and concepts in the field, along with an overview of the development cycle from identification and cultivation through stewardship and recognition. You will learn how to develop a case for support, identify and assess prospective donors, match a donor’s interests and needs with your organization’s mission and goals, recognize planned giving benefits to your donors, structure a successful solicitation, and respond to ethical dilemmas. You’ll also examine career opportunities in the field, along with contemporary issues and trends confronting today’s fundraising managers. Throughout the course you’ll gain hands-on practice developing an array of written products for your fundraising and development portfolio. In this module, you will be able to discuss fundraising terminology and be confident interacting with others in the field. You will be able to describe the ethical principles that guide development and fundraising and build a foundation in the development process. You will be able to describe and distinguish between several different types of campaigns, and various ways you can raise money. 7 videos2 readings1 assignment2 discussion prompts In this module, you will be able to define and describe the components of an effective case statement, and be able to distinguish between an organizations vision, goals, and objectives. You will be able to create variations on your case statement, and identify potential prospects for your organization. You will be able to discuss annual giving campaigns and be able to plan and build a base of support for your organization's fundraising programs. 7 videos2 readings1 assignment1 peer review2 discussion prompts In this module, you will be able to differentiate between major gifts and planned giving. You will be given an overview of the major gift process and then be able to discuss how to cultivate and solicit major donors. You will be able to identify how to establish a planned giving program and potential prospects. You will identify the role that foundation and corporate support plays in a development program and be able to describe the basics of the grant writing process. 8 videos1 reading1 assignment4 discussion prompts In this module, you will be able to describe the four pillars of a donor relations program. You will be able to differentiate the various types of fundraising campaigns and identify the essential building blocks for running a successful fundraising campaign. You will be able to write a proposal letter to solicit funds for a charity event that your organization is hosting. 8 videos1 reading1 assignment1 peer review2 discussion prompts | 4 modules | Beginner level | null | https://www.coursera.org/learn/fundraising-development | 94% |
6,328 | Scrum Master Specialization | 2,255 | 4.7 | 49 | Daniel C. Yeomans | SkillUp EdTech | ['Project Management', 'Scrum Master', 'Risk Management', 'Communication', 'Scrum', 'Project Management', 'Scrum Master', 'Risk Management', 'Communication', 'Scrum'] | Demand for Scrum Masters is expected to grow considerably over the next 10 years. In this program, you’ll startmastering the essential skills, tools, and methodologies that Scrum Masters use every day. Scrum Masters play a leading role on projects across industries, using Agile project management methodologies to guide projects to a successful close. They work to remove obstacles or impediments that may hinder project progress. They facilitate Scrum events such as daily stand-up meetings, sprint planning, sprint reviews, and retrospectives. They plan, track, and lead all communication and collaboration between leadership and key team members. This program covers everything a Scrum Master does as part of the role. When you complete this Specialization, you will have aportfolio of real-world projects to showcase your proficiency to employers. This program is designed for beginners, no prior experience is necessary. However, the program is also beneficial for professionals who have some experience in Project Management or Agile projects and want to level up their careers with modern development practices and skills. This specialization also helpsprepare learners to take the CSM certification exam from Scrum Allianceby providing a realistic practice exam. Additionally, the program will benefit those interested in other certifications such as the PMI-ACP and PMI-DASM. Applied Learning Project This Specialization has a strong emphasis on applied learning and includes a series of hands-on activities. In these exercises, you will take the theory and skills gained and apply it to real-world scenarios. From building a timeline, tracking issues, or setting up a communications plan, we will provide realistic scenarios you might encounter as a Scrum Master. Compiling these tools together will provide you with a portfolio showcasing your experience to help you shine for potential employers. The final course in this program is a course that was developed based on the CSM exam from Scrum Alliance. It will test your learnings about Agile and being a Scrum Master and help prepare you for taking the official CSM exam down the road. Summarize the role of the Scrum Master to include a position description, benefits of the position, and key skills essential to success. Compare and contrast the role of the Scrum Master to a traditional project manager. Describe opportunities for Scrum Masters in the current work environment to include potential employment, job requirements, and salary ranges. Define certification opportunities in Agile and Scrum to include Scrum Alliance CSM, PMI-ACP, and PMI-DASM. Identify the Scrum Process flow and the various artifacts required at different phases of the process flow and create Scrum Personas. Develop a Working Agreement to foster a collaborative environment for your team members. Develop a retrospective for a given scenario and use coaching techniques to resolve a dysfunctional team. Develop a Product Vision and goals and collaborate with the Product Owner to refine a Backlog. Apply Scrum skills, create project charters, perform Stacey analysis, and identify and prioritize stakeholders with optimal engagement methods. Create a working agreement, User Stories, product backlog, Sprint backlog, analyze risks, and develop an Agile risk register. Perform relative estimation for story points, calculate team velocity, develop a Kanban board, and generate a burndown chart. Evaluate daily Scrum meeting best practices, prepare for a demo, conduct a retrospective, and discuss Scrum certification opportunities. List CSM testing and eligibility requirements. Summarize what to expect from the CSM test. Explain how to prepare for the CSM test. Complete a CSM Practice Test. | 4 course series | Beginner level | 3 months (at 3 hours a week) | https://www.coursera.org/specializations/skillup-edtech-scrummaster | null |
6,329 | Researcher's guide to omic fundamentals | Enrollment number not found | Rating not found | null | Candace Savonen, MS | Fred Hutchinson Cancer Center | [] | The course is intended for students in the biomedical sciences and researchers who have been given data and don’t know what to do with it or would like an overview of the different genomic data types that are out there. This course is written for individuals who:
- Have genomic data and don’t know what to do with it.
- Want a basic overview of genomic data types.
- Want to find resources for processing and interpreting genomics data.
Goal of this course:
Equip learners with tutorials and resources so they can understand and interpret their genomic data in a way that helps them meet their goals and handle the data properly. This includes helping learners formulate questions they will need to ask others about their data
What is not the goal
Teach learners about choosing parameters or about the ins and outs of every genomic tool they might be interested in. This course is meant to connect people to other resources that will help them with the specifics of their genomic data and help learners have more efficient and fruitful discussions about their data with bioinformatic experts.
The course is intended for students in the biomedical sciences who have been given data and don’t know what to do with it or would like an overview of the different genomic data types that are out there. In this module, we cover the basics of what will be covered in this course and what you should expect. Next we get into an overview of what omic data types and their workflows often look like. 3 videos3 readings2 assignments1 discussion prompt In this module, we cover some considerations for how to choose between different omics tools. Then we talk about what is metadata and how do you make sure you get the most of your metadata? 2 videos2 readings4 assignments2 discussion prompts In this module, we build on the previous module's generalities about omic data and get into specifics about sequencing data and microarray data. 2 videos2 readings4 assignments In this module, we discuss what are general data analysis tools you may want to consider using. Lastly we cover some basics about annotation that are involved in every omic data analysis workflow. 1 video3 readings4 assignments Now that you've learned some fundamentals about omic data, in this section we have a final quiz that tests your absorption of what we've discussed. We also have a Tool Glossary of recommended tools you may want to consider using for your next steps with your omic data. 1 video2 readings1 assignment | 5 modules | Intermediate level | 4 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/researchers-guide-to-omic-fundamentals | null |
6,330 | Clinical Trials Management and Advanced Operations | 8,177 | 4.7 | 76 | Ann-Margret Ervin, PhD, MPH | Johns Hopkins University | ['Meta-Analysis', 'Compliance', 'Reproducibility', 'Evidence Synthesis', 'Ethics'] | In this course, you’ll learn about the more advanced elements of managing clinical trials. From anticipating and planning for protocol events to conducting systematic reviews to synthesize evidence, you and your study team need the skills to implement best practices throughout the trial process. You’ll learn how to recognize and respond to problems and adverse events, comply with regulations, and participate in frameworks that promote transparency. You’ll also learn how systematic review and meta-analysis is used to synthesize evidence from multiple sources. Finally, you’ll learn how your research can benefit from the adoption and consistent use of standardized study documents. Protocol events are problems of varying magnitude that happen over the course of a clinical trial. They can affect patient safety, data integrity, or other aspects of the trial and need to be appropriately categorized and reported. You and your team need to be prepared to recognize, document, and respond to every type of protocol event. 3 videos1 reading1 assignment In this module, you’ll learn about regulatory affairs in clinical trials and how to avoid trial misconduct, which is handled differently from protocol events. Trial investigators are held to federal and local standards in their study conduct, and Institutional Review Boards (IRBs) along with federal agencies are in charge of enforcement. The ramifications for trial investigators engaging in fraud or trial misconduct can result in loss of funding or even legal consequences, so you and your team need to be aware of these expectations and plan for strict compliance throughout your trial. 5 videos1 assignment In this module, we'll be discussing standardization of research practices, transparency of study activities, and research reproducibility. Standardization improves dissemination of results, easing the possibility of selective reporting between trials and facilitating a complete view of the full body of evidence. Standards for research practice enable study replication, allowing other investigators to duplicate your results for verification purposes. Transparency allows for effective adjudication by journal editors and others who might wish to review your study data. Finally, protocol development and trial registries hold the investigators to the outcomes they pre-specified in their protocol development. 4 videos1 assignment In this module, you’ll learn about addressing a clinical trial question of interest by synthesizing evidence from various trials. A systematic review focuses on a specific question, and systematic reviewers use explicit, transparent, and replicable scientific methods to identify, select, appraise, and summarize similar but separate studies. Meta-analysis is an optional component of systematic reviews that allows quantitative assessments of outcomes from similar trials. 6 videos1 assignment In this module, you’ll learn about the standardized study documents used in a clinical trial, including the types of documents and why they’re used. You’ll also learn best practices for creating study documents and the principles for maintaining and managing them. 13 videos1 reading1 assignment | 5 modules | Beginner level | 4 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/clinical-trials-management-and-advanced-operations | null |
6,331 | Docker Fundamentals | Enrollment number not found | 3.3 | 15 | LearnKartS | LearnKartS | ['Microservices', 'Mirantis', 'Docker (Software)', 'Containerization'] | Welcome to the Docker Fundamentals course! This course is aligned with the Docker Certified Associate (DCA) Certification body.
This course provides a comprehensive introduction to containerization, focusing on practical skills and real-world applications. By mastering Docker, you will significantly enhance your development workflow, improve deployment consistency, and stay competitive in the evolving tech landscape.
This course requires a solid understanding of Linux as a prerequisite.
This course is designed for individuals new to Docker, cloud professionals, architects, software developers, software engineers, technical leads, and system administrators.
By the end of this course, you will be able to:
- Gain a comprehensive understanding of Docker, including its architecture and core functionalities.
- Differentiate Docker from traditional virtualization methods and grasp its advantages.
- Master the concept of containerization and understand why Docker is a preferred choice in modern software projects.
- Recognize the significance of microservices architecture and its advantages in application development.
- Understand the key components of Docker Engine, pricing models, and additional components available for Docker Enterprise, including Mirantis products.
This course contains engaging videos, readings, and knowledge checks for a high-quality learning experience. This module covers Docker basics, including its architecture, DevOps integration, and microservices advantages. By the end of this, learners will distinguish Docker from virtualization, understand its importance, and grasp its components, editions, pricing, and associated products for practical applications. 18 videos4 readings6 assignments1 discussion prompt | 1 module | Beginner level | 3 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/docker-certified-associate-docker-fundamentals | null |
6,332 | Observational Methods and Qualitative Data Analysis | Enrollment number not found | Rating not found | null | Mike Stadler, PhD | American Psychological Association | ['Participant Observation', 'Ethnographic Inquiry', 'Case Study Analysis', 'Researcher Positionality'] | This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and qualtitative research methods along with high school students and professionals with similar interests. This course delves into the qualitative research traditions of ethnographic inquiry and case study in psychology, emphasizing the use of participant observation. Students will explore the unique practices, data gathering and analysis methods, and researcher involvement in these traditions. This course explores the interviewing methods used in qualitative research in psychology. The course emphasizes the importance of researcher positionality and the distinctive characteristics of ethnography and case study. Students then learn to apply basic qualitative data analysis (QDA) techniques to the data gathered. The course also covers the utility of observation in understanding context, identifying tacit patterns, and providing direct personal experience and knowledge. It further discusses the role of coding in data analysis, including initial, focused, and axial coding. The course concludes with a look at how to move from categorization to interpretive representation in QDA. This comprehensive exploration prepares students to conduct their own qualitative research, equipped with a deep understanding of various research traditions and methodologies. This module introduces you to your PsycLearn Essentials course. Find out what’s included in this course and how to navigate the modules and lessons. You’ll also learn valuable study tips for successful learning. 2 videos8 readings This course explores two research traditions—ethnographic inquiry and case study—with focus on their use of a tool known as participation observation, which can complement or stand apart from interviewing. You’ll compare purpose and focus, data gathering and analysis, unique practices, and ways the researcher is involved in the process. We will also explore analytic techniques that apply not just to ethnography and case study, but also to the research traditions earlier explored. 1 reading Observation, a naturalistic qualitative inquiry technique, serves as a complement to the individual or group research interview. In observational research, the researcher witnesses, participates in, and/or experiences the phenomenon under investigation. Again, we will discuss the role of researcher as an instrument of data collection, underscoring pertinent skills, knowledge, and abilities. 4 readings2 assignments Ethnography explores culture—the values, beliefs, daily lives, patterns, rituals, symbols, and behaviors shared by a group of people. Note that we are not limiting our exploration of culture to nations or ethnic groups. Culture also exists in workplaces, student organizations, schools, and more. In qualitative research, exploration of culture involves researcher immersion and prolonged observation. 6 readings2 assignments A case study involves the examination of a specific, bounded case (or cases), with focus on the case as a unit of analysis, versus the exploration of an overarching phenomenon, lived experience, or culture. Cases can be many things: people, sites, groups, classrooms, organizations, and more. 1 video4 readings2 assignments Qualitative research is iterative. Often, researchers cycle through collection and analysis, applying strategies like researcher positioning, the constant comparative method (CCM), and theoretical sampling. The content that follows provides an elementary introduction to common qualitative data analysis (QDA) techniques. By no means are these techniques exhaustive of all QDA methods; thus, readers will gain broad insight and will practice applying common coding, analysis, and integration strategies. Many qualitative researchers pursue advanced studies of QDA, often through an apprenticeship model focused on a specific tradition (e.g., phenomenology), in graduate programs. 2 videos8 readings2 assignments Complete the final course assessment. 1 reading1 assignment This module provides a variety of information and tools from the American Psychological Association (APA) that will help inspire you as you complete your coursework and plan your career goals. Get discounted access to Academic Writer, APA’s online tool for writing effectively, as well as valuable advice that will help you develop and strengthen your skillset for learning success and future employment. Additionally, explore resources on various psychological issues. This module also includes APA resources on scholarly research and writing; a list of sites providing valuable resources on diversity, equity, and inclusion in psychology education and in the professional community; resources on a career in psychology; and links to career opportunities at the APA. You can also view videos that offer tips on dealing with stress. 8 readings | 8 modules | Beginner level | 4 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/observational-methods-and-qualitative-data-analysis | null |
6,333 | Mandarin Chinese 2: Chinese for Beginners | 19,964 | 4.8 | 426 | Wang Jun | Shanghai Jiao Tong University | [] | Mandarin Chinese 2: Chinese for beginners is a beginner's course of Mandarin Chinese in continuation of Mandarin Chinese 1: Chinese for beginners. It uses lectures, short plays, interactive exercises and cultural tips to help learners build a fundamental capability of oral Chinese in real-life situations. At the end of the 5-lesson course, the learners will reach the following proficiency: ♦ 300 words
♦ 40 language points
♦ handling 10 real-life situations
Completing "Mandarin Chinese 1: Chinese for beginners" or having attended Chinese courses of any types for at least 15 hours is the prerequisite. Learning how to ask for directions and places; Learning how to talk to taxi drivers 1 video4 readings2 assignments1 discussion prompt Learning how to ask for directions and places; Learning how to talk to taxi drivers 2 videos3 readings2 assignments1 discussion prompt Learning how to ask for phone numbers; Learning how to talk about hobbies and leisure activities 1 video3 readings2 assignments1 discussion prompt Learning how to ask for phone numbers; Learning how to talk about hobbies and leisure activities 2 videos3 readings2 assignments1 discussion prompt Learning how to make phone calls; Learning how to make an appointment 1 video3 readings3 assignments1 discussion prompt Learning how to make phone calls; Learning how to make an appointment 2 videos3 readings2 assignments1 discussion prompt Learning how to express the location of things and places 1 video4 readings2 assignments1 discussion prompt Learning how to express the location of things and places 2 videos3 readings2 assignments1 discussion prompt Learning some vocabulary for the human body; Learning how to ask about and describe one’s health 1 video4 readings2 assignments1 discussion prompt Learning some vocabulary for the human body; Learning how to ask about and describe one’s health 2 videos3 readings2 assignments1 peer review1 discussion prompt | 10 modules | Beginner level | null | https://www.coursera.org/learn/mandarin-chinese-2 | 98% |
6,334 | Applied Machine Learning: Techniques and Applications | Enrollment number not found | Rating not found | null | Erhan Guven | Johns Hopkins University | ['Data Pre-Processing', 'Feature Engineering', 'Supervised Learning', 'Practical Application', 'Model Evaluation'] | The course "Applied Machine Learning: Techniques and Applications" focuses on the practical use of machine learning across various domains, particularly in computer vision, data feature analysis, and model evaluation. Learners will gain hands-on experience with key techniques, such as image processing and supervised learning methods while mastering essential skills in data pre-processing and model evaluation. This course stands out for its balance between foundational concepts and real-world applications, giving learners the opportunity to work with widely-used datasets and tools like scikit-learn. Topics include image classification, object detection, feature extraction, and the selection of evaluation metrics for assessing model performance.
By completing this course, learners will be equipped with the practical skills necessary to implement machine learning solutions, enabling them to apply these techniques to solve complex problems in data processing, computer vision, and more. Explore the practical applications of machine learning through hands-on modules covering data pre-processing, feature extraction, model evaluation, and supervised learning techniques. Delve into specialized topics such as computer vision and learn to implement and assess various machine learning models. This course combines theoretical insights with practical lab activities to equip you with essential skills in applied machine learning. 2 readings Discover the foundational principles and practical applications of machine learning in the field of computer vision. This module covers essential concepts, including data preprocessing, dataset management, classification techniques, and model evaluation, providing a comprehensive introduction to applying machine learning to visual data. 5 videos2 readings3 assignments1 ungraded lab Explore essential techniques in data feature analysis and model evaluation critical to effective machine learning applications. Learn to identify, preprocess, and integrate datasets from diverse sources like UCI KDD and Kaggle. Gain hands-on experience with the Weka framework for data preprocessing and classification, and understand evaluation metrics including Receiver Operating Characteristic curves. By the end of this module, you'll grasp the nuances of model overfitting and strategies to optimize model performance. 7 videos2 readings3 assignments1 ungraded lab Master the essential techniques of data pre-processing to enhance machine learning model performance. This module covers the foundational aspects of data cleaning, various data formats, and processing methods. You'll delve into advanced topics like discretization, data transformation, and reduction techniques. By the end of this module, you'll be adept at engineering data features, applying feature selection, and refining datasets for optimal machine learning outcomes. 5 videos1 reading3 assignments1 ungraded lab Delve into the core principles and mathematical foundations of supervised learning algorithms. This module covers essential techniques, including the Perceptron algorithm, Naive Bayes classifier, and Linear Regression methods. You'll gain practical experience implementing and visualizing these algorithms, and explore how classifier decision boundaries shift with parameter changes. Additionally, learn to apply text classification using real-world datasets for hands-on understanding of supervised learning applications. 6 videos2 readings3 assignments1 programming assignment | 5 modules | Intermediate level | 19 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/applied-machine-learning-techniques-and-applications | null |
6,335 | Data Ingestion, Exploration & Visualization in Qlik Sense | Enrollment number not found | Rating not found | null | Henry Habib | Coursera Instructor Network | ['Qlik Sense (Data Analytics Software)', 'Data Modeling', 'visualization', 'Data ingestion', 'Digital Dashboards'] | This course is an intermediate-level course designed for learners who want to continue their data visualization journey with Qlik Sense, a powerful sophisticated Business Intelligence tool. Data preparation and ingestion is a key prerequisite for data visualization, and this course not only dives deep into that concept, but other important intermediate topics such as filters, expressions, and personalization. The second of a series of three courses on Qlik Sense emphasizes the significance of moving beyond basic chart creation. In today's data-driven landscape, businesses and professionals require more than simple visualizations to gain a competitive edge. They need to develop a system of highly customized and tailored dashboards that precisely align with their unique data needs. These dashboards serve as powerful tools for effective decision-making and data-driven insights. For example, marketing teams can benefit from dashboards that provide real-time metrics on campaign performance, audience engagement, and conversion rates.
This course provides a comprehensive understanding of data visualization with Qlik Sense. It begins with data ingestion and visualization, including how to load data from various sources, how to clean data, and how to build data models. The course then goes through how to create sophisticated charts and dashboards, with intermediate concepts like filters and expression. Finally, the course demonstrates how to apply personalization to tailor the functionality and look of the dashboard.
This course is tailored for those looking to advance their data visualization skills with Qlik Sense. It's ideal for data analysts seeking to craft compelling narratives or arguments through data, as well as individuals aiming to effortlessly transform datasets into actionable graphs using Qlik Sense.
To excel in this course, intermediate-level learners should have the following prerequisites: a basic grasp of Qlik Sense, familiarity with simple Excel functions or similar spreadsheet software, a foundational understanding of data statistics (e.g., mean, sum, etc.), and an enthusiastic, proactive learning approach. This course is an intermediate level course designed for learners who want to continue their data visualization journey with Qlik Sense, a powerful sophisticated Business Intelligence tool. Data preparation and ingestion is a key perquisite for data visualization, and this course not only dives deep into that concept, but other important intermediate topics such as filters, expressions, and personalization. 15 videos4 readings1 assignment | 1 module | Intermediate level | 2 hours to complete | https://www.coursera.org/learn/data-ingestion-exploration--visualization-in-qlik-sense | null |
6,336 | Generative AI in Education | 4,877 | 4.5 | 56 | Gabriella Rodolico | University of Glasgow | [] | Discover the foundations of generative AI in our dynamic course. Gain a comprehensive grasp of generative AI basics, including definitions, prompt engineering, ethical considerations, and best practices. This engaging, discussion-focused course empowers learners to explore generative AI through hands-on practice with recommended tools. Learners actively participate in discussions, sharing insights and findings in the forum. Our course is uniquely structured, emphasising both practical exercises and in-depth conversations. By providing initial insights and encouraging practice, we nurture learners' confidence in understanding generative AI. We facilitate a supportive environment where learners critically evaluate AI's impact, discussing its advantages and challenges in educational contexts.
Join us to cultivate expertise in generative AI, bridging theory and practical application. Explore its potential, refine your skills, and contribute meaningfully to the discourse surrounding AI in education. A welcome and introduction to the course overall before moving on to the basics about generative AI: what it is, what educational institutions are saying about it, and prompt engineering for generative AI. 4 videos4 readings1 assignment2 discussion prompts In Module 2, you'll learn about some additional good practice in working with AI, gain some insights into the student perspective, and do activities designed to make you think about what would be good guidance to provide on AI. 2 videos1 reading1 assignment3 discussion prompts Module 3 takes a deeper dive into the ethics surrounding generative AI and its use in education. We'll look at the risks that can come with generative AI and consider how to analyse them, while also considering the philosophy of education and cognitive loads. 4 videos1 reading1 assignment4 discussion prompts In this module, you'll explore other insights on how generative AI can be a helpful tool within the education sector, as well as tools that can help you expand your thinking and planning when it comes to incorporating it in the classroom. 2 videos8 readings1 assignment2 discussion prompts | 4 modules | Beginner level | 5 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/generative-ai-in-education | null |
6,337 | Continuous Integration and Continuous Delivery (CI/CD) | 22,606 | 4.7 | 174 | John Rofrano | IBM | ['CI/CD', 'Continuous Integration', 'Continuous Development', 'Infrastructure As Code', 'Automation'] | A principle of DevOps is to replace manual processes with automation to improve efficiency, reduce human error, and accelerate software delivery. This requires automation that continuously integrates code changes and continuously delivers those changes to a production environment. This course introduces you to Continuous Integration and Continuous Delivery (CI/CD), an automated approach to software development. You’ll discover the benefits of CI/CD for creating a DevOps pipeline and explore popular CI/CD tools.
You’ll examine the key features of CI, explore social coding, and the Git Feature Branch Workflow. You will also learn about standard CI tools and gain a deep understanding of GitHub Actions workflows and their components.
This course provides an overview of CD and its goals, benefits, and best practices. You will learn the requirements of a CI/CD pipeline and discover standard CD tools.
You will explore Tekton and discover how its components work together to create a CD pipeline. You will learn how to build a pipeline, pass parameters to a pipeline, build triggers to start pipeline runs, implement reusable tasks, and create custom tasks. You will discover how to complete your CD pipeline by building a container image and deploying your application to an OpenShift Kubernetes cluster.
Throughout the course, you can hone your skills and challenge yourself through several hands-on labs. Welcome to Module 1, Introduction to CI/CD. In this module, you will get a broad introduction to Continuous Integration and Continuous Delivery, commonly known as CI/CD. CI/CD is an automated software development and delivery approach that ensures repeatability and reliability. Throughout this module, you will explore the concepts of CI and CD, understanding their advantages when implemented correctly in your DevOps pipeline. You will also study various popular CI/CD tools, recognizing the importance of eliminating manual procedures and acknowledging that different teams within an organization may use other CI/CD tools. Additionally, you will gain insights into Infrastructure as Code (IaC), which involves utilizing code to automate the provisioning and management of infrastructure. IaC serves as a fundamental concept for implementing automation. There are no labs in this first module. The goal is to understand what CI/CD is before we dive deep into each topic individually. Let's get started. 5 videos2 readings2 assignments1 plugin Welcome to Module 2: Continuous Integration! This module provides you with a comprehensive orientation to Continuous Integration (CI). Through this module, you will gain knowledge of CI's features and the benefits it brings to the world of DevOps. We will begin by exploring social coding, a widely adopted practice within the open-source community. Many companies are now adopting this practice for inner source purposes, to capitalize on its efficiency levels and other benefits. In support of that, you’ll learn about the Git version control system, how to practice the Git Feature Branch Workflow, and the essential commands required to manage it. The workflow will ensure that you follow good DevOps practices and work in small batches so your development work never strays too far from the main codebase. This workflow offers several other key features, along with ensuring adherence to good DevOps practices and maintaining close alignment with the main codebase. We will also explore various popular Continuous Integration (CI) tools, such as Jenkins, CircleCI, and Travis CI, and study their comparison. The tool that you will dive deep into is GitHub Actions. It’s a relatively new tool that is rapidly gaining popularity and is available on every GitHub repository. We’ll go into great detail on the events, runners, jobs, steps, and actions that are the essential components of the GitHub Actions workflow. Through hands-on labs, you can apply your knowledge by forking a repository and establishing your own GitHub Actions workflow. This workflow will involve tasks such as, code examination, quality checks, unit testing, and automatic reporting of code coverage. Importantly, this lab is not a simple "hello world" exercise; it represents a real-world example from one of my personal projects. Consequently, the knowledge and skills you acquire during this lab will be directly applicable to your own projects. 11 videos2 readings3 assignments2 app items1 plugin The module begins by introducing Tekton and pipelines, establishing a foundation for comprehending their roles in the CI/CD process. You will also learn the significance of triggers in Tekton, enabling pipelines to execute automatically based on specific events or conditions. Through a hands-on lab, you will create a Tekton trigger to initiate pipeline runs in response to external events. You will gain proficiency in effectively utilizing the Tekton Catalog and incorporating its resources into pipelines. The module guides you in creating custom tasks for code linting, unit testing, and other quality assurance processes. Additionally, you will learn how to build container images in preparation for deployment to Kubernetes. Through hands-on labs, you will develop practical skills to effectively implement Tekton pipelines and automate their CI/CD processes. 12 videos2 readings3 assignments6 app items1 plugin Welcome to the "DevOps and GitOps with OpenShift" module. In this module, you will understand the DevOps pipeline and its essential elements that automate the software delivery process. You will explore the components of CI/CD pipelines and their utilities. Additionally, you will learn about OpenShift Pipelines, which offer benefits such as seamless integration with Kubernetes tools, scalability, and the ability to leverage OpenShift services. The module will also introduce you to GitOps, an operational framework that combines DevOps best practices with version control and automation. GitOps enables efficient deployment and management of infrastructure and application configurations by utilizing GitOps as the single source of truth. You will discover the fundamental principles, benefits, and workflow of GitOps, including visibility, audibility, and easy rollback of changes. Furthermore, the module will delve into Argo CD, a tool that plays a crucial role in the GitOps ecosystem. You will explore Argo CD's key concepts and features, including its architecture and how it enables continuous delivery and streamlines application deployment processes in Kubernetes environments. By the end of this module, you will have a comprehensive understanding of the DevOps pipeline, CI/CD components, OpenShift Pipelines, GitOps principles, benefits, and the critical features of Argo CD. This knowledge will empower you to automate software delivery, manage configurations, and streamline deployment processes in modern software development environments. 5 videos1 reading2 assignments1 app item1 plugin In this module, you will complete a final exam and a final project that tests your knowledge of the course’s content. The exam will include questions on topics including but not limited to CI/CD’s principles, features, benefits, tools, and methods of implementation. The final project lab environment will provide you with a sample application and an OpenShift Cluster, and you will be asked to add CI/CD pipelines using GitHub Actions, Tekton tasks, and OpenShift Pipelines. 1 video2 readings1 assignment1 peer review1 app item | 5 modules | Intermediate level | null | https://www.coursera.org/learn/continuous-integration-and-continuous-delivery-ci-cd | 96% |
6,338 | OKR Certification: Leadership and Goal Setting | 34,464 | 4.9 | 526 | John Doerr | Measure What Matters | ['goal setting', 'Communication', 'Planning', 'Business Strategy', 'Leadership And Management'] | “Ideas are easy. Execution is everything.” -John Doerr In this one-of-a-kind OKR Certification, John Doerr builds on his New York Times best-selling book, Measure What Matters. The chairman of the venture capital firm Kleiner Perkins, Doerr reveals how the goal-setting system of Objectives and Key Results (OKRs) can lead to exponential growth.
This simple yet often misunderstood framework can help any organization thrive through meaningful, ambitious goal setting.
After taking the course, you will be able to use the OKR system to:
- clearly define and communicate your most important priorities;
- align everyone's goals, from entry level to the CEO;
- guarantee a commitment to excellence throughout the organization;
- definitively track and measure progress for transparent accountability;
- stretch for ambitious, amazing achievements;
- implement a robust OKR practice within an organization.
You’ll learn from real-world examples on how to turn strategies into action plans. You’ll unlock the power of the business community’s goal-setting system of choice. You’ll learn to write effective OKRs, and how to roll out the system within an organization.
Ever since they were introduced at Intel by iconic CEO Andy Grove in the 1970s, OKRs have engineered the success of some of the world’s most innovative businesses. John Doerr learned the method from Grove during his time at Intel and famously taught it to founders Larry Page and Sergey Brin at Google, one of his standout investments.
Doerr has continued to refine the system as he passes it on to the founders of his investment portfolio companies at Kleiner Perkins, where he serves as chairman. For the first time, he has gathered his wealth of experience and knowledge into a single educational program.
This course is presented by John Doerr and Kleiner Perkins technical advisor Ryan Panchadsaram, former Deputy Chief Technology Officer of the United States. In this introduction to OKRs, you will learn the basic definition and construction of OKRs. 14 videos21 readings5 assignments3 discussion prompts In this module, you will learn how to OKRs function within an organization. Discover how OKRs can align many teams to the most important priorities at the top and how to adjust the system to meet your organizational structure and needs. 10 videos13 readings3 assignments In this module, you'll learn how to effectively communicate about your organization's top priorities using CFRs (Conversation, Feedback, Recognition). You'll also understand the components of a full OKR cycle, including tracking, grading, and setting up for the next cycle. 18 videos22 readings4 assignments In this module, we'll cover advanced OKR topics, including strategies for the most effective approaches to OKRs and solutions to the most common OKR stumbling blocks. 6 videos11 readings2 assignments | 4 modules | Beginner level | null | https://www.coursera.org/learn/okr | 97% |
6,339 | How to Get Skilled: Introduction to Individual Skills Management (Project-Centered Course) | 58,337 | 4.1 | 220 | Dr. Valeri Chukhlomin | The State University of New York | ['goal setting', 'Career Development', 'Skills Management', 'Self-Coaching', 'personal strategy'] | Do you want to gain a competitive edge on the job market? Would you like to improve the way that you organize, manage, and present your skills to succeed in a competency-based, competitive job selection?
Have you prepared to compete for jobs in the age of AI-powered recruiting?
This advanced, project-centered course* is designed for working professionals who want to direct their skill-building activities towards creating powerful, evidence-based, data-driven, and externally verified job applications. When you complete the course, you’ll be able to objectively measure your level of skills acquisition against your desired job’s requirements and the likely competition. You’ll learn how to use experiential methods and tools, such as simulations, benchmarking, competency dashboards, and skills assessment to operationalize and quantify your skills. You will know how to realistically estimate your likely score in the competitive job selection; you will also find out how much of each skill you need to develop to stand out and beat the competition. In addition to improving your job applications, the course will teach you how to increase the effectiveness of your ongoing professional development by monitoring the level of skills acquisition.
The course will provide you with tangible outcomes for immediate use. We’ll show you how to use a simple, powerful computer program to organize and manage your skills inventory. Your completed project will focus on your desired job and will include three components: 1) a Skillset Summary Checklist; 2) a Selection Criteria Statement; and 3) a Professional Development Plan. Upon completion of the course, you will be able to use the results of the project to strengthen your next job application (or promotion request). You’ll be able to use the same technique to direct your skill-building activities and continuously monitor their effectiveness.
What is required:
In the course, we’ll provide videos, readings, and learning activities. There is an optional course companion book available for purchase on Amazon.com. In the course, you'll be asked to download and use the course software, “J.A.F.A.R, Skills Manager Pro (R).” The software is a copyrighted Excel spreadsheet template; for course participants, it is provided free of charge (for personal, non-commercial use only). To use the software, you will need to have a basic level of proficiency and a licensed copy of MS Excel.
*About Project-Centered Courses: Project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of like-minded supportive learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share. The goal of the Module is to define individual skills management, examine its theoretical foundations, and clarify its crucial role for career success in a highly competitive job market. We derive some useful lessons from business strategy; in particular, we examine how business strategists measure and manage “competitive advantage”, so that you can use a similar approach for crafting effective personal strategies in the job market. Then, we discuss the desired outcomes of individual skills management training. For this purpose, we review the Individual Skills Management Framework. (At the end of the course, you’ll be able to check your progress against the Framework). 5 videos4 readings1 assignment In this Module, we move to discussing practical approaches, models, and tools that you can use for measuring and managing your skills in a competitive job market environment. First, we discuss how to operationalize skills (in other words, how to make them measurable). Then, we examine how to cluster skills into job-specific skillsets and use performance management techniques to objectively evaluate the level of mastery. Finally, using a simulated competitive job selection process, we will show how to realistically estimate your total skillset score. In the Module, we also introduce “J.A.F.A.R., The Skills Manager Pro (TM)”, a free and intuitive individual skills management software developed for this course. In addition to organizing skill-building routines, "J.A.F.A.R." will help you achieve tangible outcomes that can be immediately useful for your next job application. 3 videos1 reading1 assignment Now, it is time to put individual skills management to work and explore how you can implement the methods and techniques introduced in the course in typical skill-building scenarios. In this and the following Modules, we examine two case studies dealing with three career enhancement scenarios, namely Job Excellence, Job Enhancement, and Job Diversification. We also demonstrate how to use "Jafar", the skills management application, for producing tangible outcomes for your ongoing professional development and your next job application. In Module 3, we begin by demonstrating how to identify, quantify, and objectively evaluate a job-specific skillset. Then, we will focus on generating a powerful and informative Selection Criteria Statement. We will also discuss how you can significantly improve your next job application by making it job-specific, evidence-based, data-driven, and externally-verified. 4 videos1 reading1 assignment In Module 4, we examine another case study focusing on the Job Diversification scenario. According to the latest job market research, in the modern economy it is becoming an absolute necessity to have a second vocational area of expertise (www.burningglass.com). That’s why we will explore a case in which a career builder strives to extend his job search area by adding a new skill in a different occupational field. You will learn how to use skills management methods and techniques to guide you through the entry process by identifying the training needs and designing concrete targets for effective professional development. 2 videos2 readings1 assignment Are you ready to give it a try? In this Honors Lesson Module, we’ll ask you to download a blank Jafar template and populate it with real-life data for your current job or (even better!) your next career move. By now, you should be able to implement the skills management methods and techniques that we discussed in the course and produce an accurate skillset review and obtain meaningful tangible outcomes that are useful for both your job selection (or promotion) process, as well as ongoing professional development. This final project is a bonus and is not a small undertaking, please allow sufficient time. In the end, we will ask you to submit your results for peer review. You will also evaluate the work of your peers. Please promptly provide constructive and fair developmental feedback, as it adds extra value to the course. 1 peer review1 discussion prompt It’s time to wrap it up! When developing the course, we wanted to fill a certain void. While there are thousands of online courses offering career builders numerous opportunities for learning new skills, there are very few courses teaching people how to effectively measure and manage their skills. Most people even do not know that their skills are already being sorted out and quantified by computerized recruiting systems powered by artificial intelligence. We think that upon completion of the course, you should be able to objectively measure your skills and more effectively organize, develop, and present them in a skill-based, job selection process. In the last Module, we want you to test your knowledge, evaluate your progress against the Individual Skills Management Framework, and boost confidence in your ability to get skilled. 2 videos1 reading2 assignments1 peer review1 discussion prompt | 6 modules | Advanced level | null | https://www.coursera.org/learn/skills-management | 93% |
6,340 | Digitalisation in Aeronautics | 8,163 | 4.6 | 174 | Klaus Drechsler | Technical University of Munich (TUM) | [] | The instructors of the online course "Digitalisation in Aeronautics" present a spectrum of different aviation research and application areas, exploring the impact of digitalisation in this specific field, including the effects of digitalisation in simulating the interaction of aircraft components, in overall aircraft development and related decision-making and in the communication channels used within aircraft. A broad and varied range of applications and digital solutions are explored in detail in the individual modules of this course. Bavarian State Minister of Digital Affairs Judith Gerlach provides a brief introduction to the digital strategy of the state of Bavaria, describing the importance of digitalisation in global manufacturing and research and the aerospace industry in particular. She demonstrates compellingly how an effective strategy can be devised for staying on top of the developments in this complex field of research. 3 videos The online course unit Collaborative Aircraft Design provides an introduction to the aircraft design process. It provides an overview of specifics in the design process, focusing particularly on challenges in early production phases. The course unit explains how aircraft design modelling decisions are made, illustrates usage of the TUM ADEBO design tool box and looks at worksharing processes in aircraft development. - Lecturer: Professor Mirko Hornung (Technical University Munich & Bauhaus Luftfahrt). 3 videos1 reading1 peer review The growing complexity of avionics systems and the associated high number of point-to-point data connections have led to the introduction of digital networks in aerospace. These serve to interconnect the system components installed in aircraft/spacecraft and integrate subsystems into a higher-level system, enabling efficient on-board communication. Because of their key role such networks are subject to special requirements. In addition to bandwidth failure resilience and interference are therefore of major importance. The lecture addresses general requirements, topologies and signal transmission types and explains bus systems currently in use such as ARINC429, Mil-Std-1553 and AFDX. - Lecturer: Dr.-Ing. Peter Stütz (Universität der Bundeswehr München). 4 videos4 assignments Aircraft systems embrace a large set of physical domains. Hydraulic, pneumatic and electrical systems all act within a confined space under extreme environmental conditions. Global optimisation of an aircraft including all of its systems thus demands a harmonised modelling approach so that all systems can be simulated and evaluated on a common platform. Modelica offers an open and free standard for multi-domain modelling of physical systems. Individual components are modelled using differential-algebraic equations while large complex systems can be composed using object-oriented methods. The underlying principles of such modelling languages are explained in this lecture and how they can be applied for aircraft systems. The resulting multi-domain models afford digital representations of aircraft systems which can then be used to optimise aircraft design. Modern energy management methods can improve system performance, while model-based fault analysis methods help ensure safety and reliability. - Lecturer: Dr. Dirk Zimmer (DLR German Aerospace Center). 4 videos1 reading1 discussion prompt Digital models for (flexible) Aerospace system behaviour are often high-order and have to be reduced when used in combination with models from complementary disciplines or where many parametric iteration steps are required, such as for design optimisation. Typical examples are control-structure interaction problems, such as vibration attenuation of satellite solar arrays and aero-elasticity and dynamic load alleviation of aircraft. In this module methods are discussed for realising a reduced order model (ROM) from a higher order model. To avoid multiple repetitions of often-costly reduction processes in cases where model parameters are varied, e.g. for system optimization, model parameters should be set for these ROMs to yield so-called P-ROMs. The effect of varied parameters can then be covered on the level of the previously established ROM simply by updating these via the new relevant parameters. The related methods are also called ‘hard computing’ methods because of the mathematically based approach, requiring a relatively well-structured set of the initial full-order systems of equations. These methods can be applied to a multitude of aerospace problems such as vibration control for satellites in orbit and dynamic aero-elastic load alleviation for aircraft. Possibilities for reducing computational effort when using P-ROMS, such as for design optimisation tasks for space structures, are also discussed. - Lecturer: Professor Horst Baier (Technical University Munich). 9 videos2 readings1 discussion prompt | 5 modules | Intermediate level | 9 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/aeronautics | null |
6,341 | Innovating with Google Cloud Artificial Intelligence | 3,375 | 4.8 | 56 | Google Cloud Training | Google Cloud | [] | Any business professional or team in an organization interested in learning about artificial intelligence, machine learning, and Google Cloud technology. In this introduction, you'll explore the course goals and preview each section. 1 video Artificial intelligence and machine learning can provide many benefits to a business, but it’s important to understand the fundamentals before starting any AI or ML initiative. In this section of the course, you'll explore many of those fundamental concepts. 6 videos1 assignment In this section of the course, you'll explore four options to build ML models with Google Cloud: BigQuery ML, pre-trained APIs, AutoML, and custom training. 8 videos1 assignment The course closes with a summary of the key points covered in each section and next steps to continue learning. 1 video | 4 modules | Beginner level | 1 hour to complete | https://www.coursera.org/learn/innovating-with-google-cloud-artificial-intelligence | null |
6,342 | Federal Taxation II: Property Transactions of Business Owners and Shareholders | 9,747 | 4.9 | 184 | Matthew Hutchens | University of Illinois Urbana-Champaign | ['Depreciation', 'Amortization', 'Capital Gains and Losses', 'Property Taxation', 'Nontaxable Exchanges'] | This course examines the U.S. federal tax system as it relates to property transactions of business owners and shareholders. Topics include cost recovery, such as depreciation, amortization, and depletion; calculation of realized versus recognized gains and losses; evaluation of the potential tax effects of nontaxable exchanges; and the combining, or netting, gains and losses that are different in nature. Assignments facilitate self-discovery of knowledge and development of a variety of professional skills. In this module, you will become familiar with the course, your instructor and your classmates, and our learning environment. This orientation will also help you obtain the technical skills required to navigate and be successful in this course. 4 videos5 readings1 quiz1 discussion prompt In this module, you will be introduced to concepts of cost recovery used by U.S. Taxpayers. The nature of property will be discussed designating the difference between realty and personalty. The Modified Accelerated Cost Recovery System (MACRS) will be explained along with its classification of both real and personal assets as well as applicable conventions used in depreciating property. Finally, learners will discover how to use the tax depreciation tables to aid in the determination of allowable cost recovery deductions. 6 videos2 readings7 quizzes In this module, you will take a deeper dive into concepts of cost recovery used in the U.S. Federal tax structure. This deeper dive begins with a discussion about the two different types of additional first year depreciation, known as Section 179 depreciation and "bonus" depreciation. Next, you will learn about listed property, which faces limitations on the deductibility. You will learn how intangible personal and real property costs are recovered through amortization, and which kinds of intangible property are eligible to be amortized. You will also learn how natural resource costs are recovered through depletion deductions. 8 videos3 readings8 quizzes In this module, you will take a deep dive into property transactions, specifically disposals, and their tax consequences under U.S. federal tax law. First, we’ll begin by discussing the economic concept of amount realized. Next, we’ll discuss differences between the amount and gains or losses realized versus recognized, such as deferred or postponed gains and disallowed losses. Last, we’ll discuss the three main ways property basis is established, namely cost basis, gift basis, and inheritance basis. 5 videos1 reading6 quizzes In this module, you will learn about unique property transactions where gains and/or losses are deferred. First, we’ll discuss circumstances where certain losses on the disposal of property are not allowed to be recognized. Next, we’ll discuss a type of non-taxable exchange called “like-kind exchange,” which allows properties to be exchanged with no tax recognition, and the rules governing its tax deferred status. Next, we’ll discuss specific circumstances where part of the non-taxable transaction actually becomes taxable due to receipt of non-like-kind property, called boot. Last, we’ll talk about what basis the newly exchanged property should have, and what the holding period should be. We'll then continue our discussion regarding non-taxable exchanges and discuss involuntary conversions. You will learn the earliest and latest dates to involuntarily exchange an asset after a casualty loss or condemnation. Next, we discuss paths for conversion, direct and indirect, and their tax consequences. We discuss two tests governing the involuntary conversion rules, specifically the functional use test and the taxpayer use test. 7 videos1 reading7 quizzes In this module, we start off by discussing the rules governing the non-taxation of the sale of a taxpayer’s primary residence. We'll discover special nonrecognition rules for the contribution of property to business entities. Next, we’ll learn what wash sales are and the dates that determine whether or not the losses can be recognized. Finally, we'll learn about the special treatment of worthless securities and gains and losses on certain small business stock. 5 videos1 reading6 quizzes In this module, we discuss the character and applicable tax rates for gains and losses on the disposal of property. Gains and losses are categorized into ordinary, Section 1231, and long-term capital “preferential” rates. Next, the importance of the holding period and its determination of whether an asset is designated as short-term versus long-term is discussed. The netting of gains and losses from different characterizations is discussed. Last, we discuss what a Section 1231 asset is and how it gets treated in the netting process. 7 videos1 reading4 quizzes In this module, you will take a deeper dive into two categories within Section 1231 assets, Section 1245 assets and Section 1250 assets. You will learn about both depreciation recapture and depreciation unrecapture, and the varying special tax rates for gains that are recaptured or unrecaptured. You will discover how other gains and losses fit into the netting process. You will learn about a special rule that applies to the sale of depreciable property between related parties. Last, you will learn about the Net Investment Income Tax. 5 videos1 reading6 quizzes In this final module, you will apply the tax rules you have learned throughout this course to a series of problems. When presented with hypothetical taxpayer situations, you will identify potential tax issues and determine appropriate tax treatments. 4 readings1 quiz1 discussion prompt1 plugin | 9 modules | Intermediate level | null | https://www.coursera.org/learn/federal-taxation-business | 94% |
6,343 | Introduction to Technical Support | 41,762 | 4.8 | 965 | Rav Ahuja | IBM | ['Customer Service', 'Technical Support', 'Information Technology (IT) Support', 'Ticketing Systems', 'Service Level Agreements (SLA)'] | Technical Support professionals are in great demand! This is the first course in the IBM IT Support Professional Certificate program, designed to prepare you for a rewarding career in technical support. You will begin this self-paced course by learning what Informational Technology (IT) support is all about. You'll find out the roles and responsibilities of Technical Support professionals and become familiar with all the different career paths you can take in Technical Support. You will also hear from experts in the IT industry about getting started in the field and how you can pursue this career without prior experience or degrees. You'll also learn some basics about the technology that technical support professionals use.
You will hear from industry insiders about how you can develop a customer support mindset and how to talk with customers and solve their problems. You will gain insights into performance evaluation, career paths, and the industry-recognized certifications that can propel your technical support career forward.
You'll then gain a comprehensive understanding of support tools and support channels and how they streamline issue resolution. You will also learn about the importance of Service-Level Agreements (SLAs) and how they contribute to delivering exceptional support experiences.
Next you will explore ticketing systems, a fundamental component of modern technical support. You'll learn about their features, benefits, and the lifecycle of a ticket or a support issue. Moreover, you'll immerse yourself in tech support methodologies, frameworks, and the art of effective documentation.
The course wraps up with a project that provides you with the opportunity to use a ticketing system hands-on and simulate the work that IT Support Specialists and Helpdesk Technician’s perform. This week, you will learn about the skills you need for success in information technology (IT) careers and the roles and responsibilities of technical support professionals. You’ll also learn about different IT systems. You’ll hear from industry insiders about getting started in technical support and how you can pursue a career in information technology (IT) without prior experience or degrees. In the guided activities, you’ll practice identifying the responsibilities of technical support professionals. 9 videos4 readings2 assignments1 discussion prompt This week, you will learn about the skills required for technical support, what certifications benefit you, the purpose of performance evaluations, and the possible career paths and progressions available to you in IT. You will also hear from industry insiders about developing your customer support mindset, getting feedback on the customer experience, and what skills you need for success in technical support. Then in the guided activity, you’ll demonstrate the skills you need for technical support. 10 videos3 readings2 assignments1 discussion prompt1 plugin This week, you’ll learn about different support channels, remote support tools, service-level agreements (SLAs), and the escalation matrix. In the guided activities, you will explore connecting to a remote computer, classifying support levels, and managing escalations. You’ll hear from industry insiders about using remote support and why SLAs are important. And you will also learn about tiered support levels and the future of tech support. 8 videos5 readings2 assignments1 discussion prompt This week, you will learn about ticketing systems, their common features and benefits, and the essential elements of industry-leading ticketing systems. You’ll experience a day in the life of a technical support specialist. You’ll also hear from industry insiders with vast experience in ticketing systems as they discuss the advances and changes in technical support. You will learn about IT Service Management (ITSM) and the benefits of effective documentation and communication. And in the guided activities, you will explore the ticket lifecycle and then practice logging a ticket. 10 videos4 readings2 assignments1 discussion prompt In this module, you’ll participate in the hands-on lab, working with a ticketing system. You will create, update, and resolve records and generate reports and charts in a ticketing system. You’ll also participate with your peers in a discussion about your plans for your future. Finally, you’ll hear from industry insiders about why getting started in technical support is the right career choice! 1 video3 readings1 assignment1 discussion prompt1 plugin | 5 modules | Beginner level | null | https://www.coursera.org/learn/introduction-to-technical-support | 99% |
6,344 | Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital | 150,277 | 4.6 | 1,261 | Han Smit | Erasmus University Rotterdam | [] | Hi and welcome to this course! Would you like to learn about the latest valuation methods that may help you to make better business decisions? Then 'Advanced Valuation and Strategy – M&A, Private Equity, and Venture Capital' by Erasmus University Rotterdam is the right course for you! This course is helpful for executives that need to value complete strategies and for all students interested in corporate finance and strategy. We present the latest tools and show you how to apply them!
We will revolutionize your way of decision making, by extending static techniques from corporate finance with dynamic methods to quantify strategic thinking. Traditionally, we assess the attractiveness of an investment as a mature business, where future cash flows mainly result from past decisions. But, in an ever-changing world, strategic decisions determine the firm’s long-term success and market value. Yet managers often have to consider these long-term implications using intuition and experience alone, with little guidance from structured, quantitative analysis.
Our treatment goes far beyond the use of standard valuation analysis. We introduce the expanded NPV, which brings together DCF, real options, and game theory. Thinking in terms of options, games, and adaptive strategies may help managers address strategic questions such as: How do you value a leveraged buyout? How can you value a high-tech venture with negative cash flows? When should you invest in new ventures in stages? How can you incorporate rival bidders in the analysis?
The tools we provide can improve your decisions in business and in daily life.
* Who is this class for?
We hope that our course appeals to (graduate) students in finance, economics, and business, as well as to high-ranking professionals and a general audience. This course is particularly interesting for venture capitalists, private equity investors, investment bankers, CEOs, CFOs, and those who aspire these affiliations. We offer this MOOC at 3 levels:
1.Executive Summary:
This 1-week module provides critical insights into the principles of corporate valuation and strategy. This is accessible for time-constrained executives and the general audience without any prior knowledge.
2. Student Level:
This level involves an understanding of the technical details. This level requires basic knowledge of concepts in corporate finance, e.g., the time value of money, financial statement analysis, capital structure, and the relation between risk and returns. Learners of this level can skip week 1.
3. Honors Level (honors certificate):
This level is challenging, engaging, and compelling to an intellectually rigorous student. Welcome! My name is Han Smit, I am Professor of Corporate Finance at Erasmus School of Economics. I will be your lecturer, and together with my team, Dyaran Bansraj and Nishad Matawlie, we are going to take you on a fascinating journey that may change the way you make strategic investment decisions. This executive level course consists of a series of accessible animation videos. Step by step we develop the conceptual frameworks and new valuation principles for strategic investments that are difficult to value with traditional tools. These new valuation methods can be particularly interesting for venture capitalists, private equity investors, investment bankers, CEOs, and CFOs. This executive level course is meant for those who want to be updated on the latest insights in corporate strategy and valuation techniques. You can walk through the fundamentals of the course in less than a week! If you wish to follow the student level, you can skip this week (don't worry, you won't miss out on anything)! 6 videos1 reading1 assignment We show you how to apply DCF approaches and provide case applications illustrating the powerful potential of this valuation methodology. We consider historical analysis, the estimation of free cash flows, various DCF approaches, and multiples valuation. In the assignments we consider specialized topics such as the valuation of leveraged buyouts. After this module you will be familiar with DCF approaches and will be able to relate them to strategy. 7 videos6 readings3 assignments1 peer review This module closes the gap between traditional corporate finance and strategic planning by linking corporate strategy to the market value. We can assess the value of a company through the expanded NPV criterion, which is able to capture the value of the firm's growth options. We review various strategic paradigms that analyze the underlying sources of this growth option value, focusing on industry analysis, firms' internal resources and dynamic capabilities. After this module you will be able to recognise the strategic growth option value in the market value of a company. 3 videos3 readings2 assignments1 peer review1 discussion prompt This module reviews the basic concepts and valuation principles of real options. Real options theory quantifies decision making under uncertainty and stresses the importance of wait-and-see flexibility, suggesting that managers should wait until major uncertainties are resolved and the project is more clearly beneficial. Since it recognizes that investments tend to be sequentially related over time, real options analysis is particularly suitable for valuing strategies in addition to isolated projects. After this module you will be able to quantify the flexibility component of the strategic growth option value. This is an important capability when valuing high-tech companies. 11 videos1 reading4 assignments1 peer review1 discussion prompt This module provides an overview of the basic principles of game theory, which are essential for our understanding of strategic decisions. Strategic investment decisions are often made in a context in which decision makers must consider the deliberate (re)actions of rivals. Combining real options with games helps us to understand competitive behavior under uncertainty. Practical examples of option games include: competitive bidding in acquisitions and new product development decisions (in car manufacturing, mobile phones and consumer electronics). After this module you will be able to quantify the strategic component in the strategic growth option value. This is important for understanding strategic decisions of companies with high growth option value. 8 videos2 readings4 assignments1 peer review1 discussion prompt | 5 modules | Advanced level | null | https://www.coursera.org/learn/advanced-valuation-and-strategy | 93% |
6,345 | Designing and Building Institutional Anti-Racist Spaces | 2,787 | Rating not found | null | Jonathan Andrew Perez | Wesleyan University | ['Diversity (Business)', 'Evaluation', 'Law', 'Educational Practices', 'Social Justice'] | Designing and Building Institutional Antiracist Spaces (D-BIAS) is a course whose mission is to teach tenets of equity, anti-racism, and cultural justice and how to apply these ideas to achieve social change. The course is aimed at educators and administrators in educational spaces, lawyers and advocates in spaces that touch civil rights, equity, and whose Institutional mission it is to achieve greater cultural equity.
The course involves creative approaches to social justice, racial justice, and advocacy while remaining open to anyone from any background who shares the same vision of the world, as social change entrepreneurs. Welcome to Wesleyan University and Justice Equity Design's course: Designing & Building Institutional Antiracist Spaces (D-BIAS)! You are here because you are interested in more than the usual one-and-done diversity workshops. You understand, or at least suspect, that to make real change in society, we must look at the deeper roots of inequity. By taking this course, you will learn a set of tools and a framework that you can adapt to your own institution and set change in motion. You will need a notebook (online or paper and pen) so that you can record your thoughts and answer questions as you work through the course. At the end you will be ready to train others to use this methodology either on your own or in further partnership with JED. The work we are about to undertake is hard work, but ultimately, it is the most rewarding work. The world will be a better place for your contribution. 7 videos38 readings2 assignments We have taught or refreshed your knowledge of a series of skills and concepts in the chapters so far. Now we are going to help you apply them. 5 videos33 readings3 assignments1 peer review2 discussion prompts In the following chapters you'll learn some more techniques and read some more relevant history. We'll show you how poetry can be a powerful tool in this work and end with another peer assessed project. 3 videos18 readings1 peer review2 discussion prompts You've learned facts, concepts, vocabulary and tools that will allow you to look at your own institution an analyze both what needs to change, and how to change it. We'll walk you through how to do it. 2 videos13 readings | 4 modules | Beginner level | 21 hours to complete (3 weeks at 7 hours a week) | https://www.coursera.org/learn/designing-building-antiracist-spaces | null |
6,346 | Easing Physical Symptoms: It's Not Just Hospice Anymore | 3,738 | 4.9 | 84 | Regina Fink | University of Colorado System | [] | Palliative care provides important support for people living with serious or life-limiting illnesses and their family caregivers. In this course, you will learn to use symptom assessment tools to better understand which symptoms are present and which are most distressing. In subsequent weeks you will learn about some of the most common and distressing symptoms such as anorexia (loss of appetite), dyspnea (shortness of breath), fatigue (weakness), delirium(confusion) and constipation and nausea/vomiting. For each of these symptoms, you will learn about the underlying cause and potential ways to support people and their families to manage the symptoms with simple practical and non-medical approaches as well as a review of medications as appropriate. In addition, you will learn to help people with their emotional response to symptoms and loss of function. You will be able to immediately use these insights, skills, and tools in your work with people living with serious illness. In other courses, you will learn communication skills, whole person assessment, how to ease physical pain and explore ways to ease psycho-social-spiritual distress. Welcome! In this module, you will learn about physical symptom assessment and then about the distressing symptoms of anorexia (loss of appetite) and cachexia (extreme weight loss). People living with serious illness often have more than five non-pain symptoms, like loss of appetite, dyspnea, weakness, confusion and many others that are contributing to suffering. You will learn how to use a symptoms assessment tool to help providers understand what symptoms are present and what is most distressing and needs prompt attention. In the second part of this week, you will learn about the common symptom of anorexia: Loss of appetite. When you understand anorexia you are able to look for reversible causes, support patient and family emotional distress, and offer practical help to manage this problem. 11 videos10 readings1 assignment In this module, you will review dyspnea assessment basics. You will start with defining dyspnea and the scope of the dyspnea problem in the palliative care setting. You will review various types and causes of dyspnea in people with serious illness. To understand how medications and integrative pain therapies work to decrease dyspnea, you need to know how the body recognizes dyspnea and makes a person short of breath. You will review how to evaluate a person’s dyspnea and how to help people pace themselves so that they can live with shortness of breath. 5 videos4 readings1 assignment In this module you learn about the physical symptom of asthenia, also called fatigue. Fatigue and weakness are seen in almost all people living with serious illness. Although fatigue is common and very emotionally distressing, providers often don't talk about it with patients and families because they think that there is nothing they can do. Although fatigue is a difficult symptom to treat it is important to look for reversible causes, consider ways to reduce the distress of fatigue and provide practical help to cope and live well with serious illness. 8 videos7 readings1 assignment In this module the learner will be introduced to the term “cognitive impairment”, the common types of this impairment, how these types differ, as well as signs and symptoms experienced by patients suffering with this type of serious illness. 7 videos4 readings2 assignments Nausea, vomiting, and constipation are frequent symptoms among patients with advanced illness. The aim of this lecture is to review how these symptoms occur and how they can be treated from a palliative care perspective. 5 videos2 readings1 assignment | 5 modules | Beginner level | 14 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/easing-physical-symptoms | null |
6,347 | Introduction to Hearing Loss | 8,257 | 4.8 | 472 | Maura K Cosetti, MD | Icahn School of Medicine at Mount Sinai | [] | Welcome to Introduction to Hearing Loss Disorders of the ear range from simple, easily treated entities (such as wax or cerumen impaction) to the highly complex (such as permanent hearing loss). Many of these disorders manifest with similar symptoms and may be difficult to differentiate without a basic understanding of the anatomy of the ear and auditory pathway.
This course, offered by the Department of Otolaryngology – Head and Neck Surgery at the Icahn School of Medicine at Mount Sinai and New York Eye and Ear Infirmary of Mount Sinai, presents the basic anatomy of the ear from the auricle or outer ear to the brain. The pathophysiology of each type of hearing loss is presented and common pathology in each of the three areas of the ear (outer, middle and inner) are reviewed. Participants will become familiar with the structural and cellular anatomy in each area, as well as the underlying pathophysiology for various disorders. They will also gain an understanding of available treatments for various ear conditions.
Week 1: Introduction
Week 2: Anatomy and pathophysiology of the auditory pathway (15 min. + quiz)
Week 3: Disorders and treatments of the outer ear (15 min. + quiz)
Week 4: Disorders and treatments of the middle ear (15 min. + quiz)
Week 5: Disorders and treatments of the inner ear (15 min. + quiz)
The primary objectives of this course are to:
• Recognize the functional and cellular anatomy of the auditory pathway
• Understand the types of hearing loss and common causes of each type
• Demonstrate familiarity with disorders of the outer, middle and inner ear
Those participating in this course have the option to complete the course at no cost or receive the Coursera Signature Track Certificate for $49.95.
Course Planners:
Lisa Chase
Ni-ka Ford
Jill Gregory
Gale Justin
Paul Lawrence
Erik Popil
Kelly Zerella
Amy Zhong
Taught By:
Maura Cosetti, MD
Assistant Professor
Otolaryngology - Head and Neck Surgery
Icahn School of Medicine at Mount Sinai
Director, Cochlear Implant Program
Ear Institute at New York Eye and Ear Infirmary of Mount Sinai
Mount Sinai Health System 1 video2 readings 1 video2 readings1 assignment 1 video2 readings1 assignment 1 video2 readings1 assignment 1 video2 readings1 assignment | 5 modules | Intermediate level | 3 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/hearing-loss | null |
6,348 | e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age | 48,547 | 4.8 | 1,397 | Dr William Cope | University of Illinois Urbana-Champaign | [] | For three decades and longer we have heard educators and technologists making a case for the transformative power of technology in learning. However, despite the rhetoric, in many ways and at most institutional sites, education is still relatively untouched by technology. Even when technologies are introduced, the changes sometimes seem insignificant and the results seem disappointing. If the print textbook is replaced by an e-book, do the social relations of knowledge and learning necessarily change at all or for the better? If the pen-and-paper test is mechanized, does this change the nature of our assessment systems? Technology, in other words, need not necessarily bring significant change. Technology might not even represent a step forward in education. But what might be new? How can we use technologies to innovate in education?
This course explores seven affordances of e-learning ecologies, which open up genuine possibilities for what we call New Learning – transformative, 21st century learning:
1. Ubiquitous Learning
2. Active Knowledge Making
3. Multimodal Meaning
4. Recursive Feedback
5. Collaborative Intelligence
6. Metacognition
7. Differentiated Learning
These affordances, if recognized and harnessed, will prepare learners for success in a world that is increasingly dominated by digital information flows and tools for communication in the workplace, public spaces, and personal life. This course offers a wide variety of examples of learning technologies and technology implementations that, to varying degrees, demonstrate these affordances in action.
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Recommended Background
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This course is designed for people interested in the future of education and the "learning society," including people who may wish to join education as a profession, practicing teachers interested in exploring future directions for a vocation that is currently undergoing transformation, and community and workplace leaders who regard their mission to be in part "educative."
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Related Resources
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Online resources are available here:
https://newlearningonline.com
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Join our Online Communities!
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CGScholar (Create an account and join the New Learning community)
https://cgscholar.com/community/community_profiles/new-learning/community_updates
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Twitter
https://twitter.com/neolearning
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Take this Course for Credit at the University of Illinois
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This course has the same content and anticipates the same level of contribution by students in the Assessment for Learning course offered to graduate certificate, masters, and doctoral level students in the Learning Design and Leadership Program in the College of Education at the University of Illinois.
Of course, in the nature of MOOCs many people will just want to view the videos and casually join some of the discussions. Some people say that these limited kinds of participation offer evidence that MOOCs suffer from low retention rates. Far from it – we say that any level of engagement is good engagement.
On the other hand, if you would like to take this course for credit at the University of Illinois, you will find more information about our program here:
https://ldlprogram.web.illinois.edu/overview/
And you can apply here:
https://education.illinois.edu/epol/programs-degrees/ldl
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The Learning Design and Leadership Series of MOOCs
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This course is one of a series of eight MOOCs created by Bill Cope and Mary Kalantzis for the Learning Design and Leadership program at the University of Illinois. If you find this MOOC helpful, please join us in others!
e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age
https://www.coursera.org/learn/elearning
New Learning: Principles and Patterns of Pedagogy
https://www.coursera.org/learn/newlearning
Assessment for Learning
https://www.coursera.org/learn/assessmentforlearning
Learning, Knowledge, and Human Development
https://www.coursera.org/learn/learning-knowledge-human-development
Ubiquitous Learning and Instructional Technologies
https://www.coursera.org/learn/ubiquitouslearning
Negotiating Learner Differences: Towards Productive Diversity in Learning
https://www.coursera.org/learn/learnerdifferences
Literacy Teaching and Learning: Aims, Approaches and Pedagogies
https://www.coursera.org/learn/literacy-teaching-learning
Multimodal Literacies: Communication and Learning in the Era of Digital Media
https://www.coursera.org/learn/multimodal-literacies We begin this module with an introduction to the idea of an "e-learning ecology" and the notion of "affordance." We use this idea to map the range of innovative activities that we may be able to use in e-learning environments – not that we necessarily do. Many e-learning environments simply reproduce the worst of old, didactic pedagogies. We then go on to explore the notion of "ubiquitous learning," the first of seven "affordances" in computer-mediated educational applications and environments that we examine in this course. 9 videos9 readings1 assignment1 peer review2 discussion prompts1 plugin This module examines two more e-learning affordances: "active knowledge making," or the right and responsibility of learners to take a degree of control over their own knowledge making; and "multimodal meaning-making," or the tools learners now have at hand to support their thinking and to represent the knowledge they have gained – including, for instance, text, image, diagram, animation, simulation, dataset, video, audio, or embedded web media. 6 videos2 readings2 peer reviews2 discussion prompts Two further e-learning affordances are explored in this module: "recursive feedback," or the rapid and repeatable cycles of feedback or formative assessment now available, including machine feedback and machine-mediated human feedback; and the "collaborative intelligence" fostered by the very social nature of Web 2.0 and contemporary e-learning environments. 9 videos2 readings2 peer reviews2 discussion prompts We come now to the last two of our seven e-learning affordances: "metacognition," or the process of thinking about thinking – a second order, more abstract, theoretical, and generalizable way of thinking; and "differentiated learning," addressing learners' different needs and interests. Together, these seven affordances become a tool with which to evaluate the scope of an e-learning technology and its application. 4 videos2 readings5 peer reviews2 discussion prompts1 plugin | 4 modules | null | 19 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/elearning | 98% |
6,349 | Sound and Sonification Design for Interactive Learning Tools | 3,259 | 4.0 | 25 | Emily Moore | Georgia Institute of Technology | [] | Designing sound representations of information can be a complex, but necessary part of engaging students and making material accessible to a larger group of learners. While advances in these tools (e.g., interactive simulations) have made many freely available to millions of STEM students and classrooms around the world, their reliance on visual-only representations makes it difficult for diverse groups of students to access the content. In this course we will introduce you to sound and sound design, to help you successfully integrate enjoyable and effective sounds into interactive learning tools. This course will take about 6 weeks to complete. Some of the modules are shorter, with videos focused on quick introductions or refreshers to get you up to speed with information you need fast. Others are longer (Modules 2 & 3), and include more working examples, or scenarios to consider.
When you finish this course, you’ll know how to:
1. Identify concepts to associate with sounds in learning tools
2. Brainstorm sound designs
3. Prototype sound designs
4. Evaluate sound designs
5. Interpret results and decide next steps
The lessons cover terminology, best practices in design, and even give you an introduction to creating sounds. What sounds do we hear every day? What sounds do we hear when we use technology? And, how do we rely on them to inform our decisions throughout the day? We’ll cover categories of sound types and terminology. 4 videos3 readings4 assignments2 discussion prompts1 plugin Module 2 introduces specific mappings and sound characteristics that we can rely on to convey information. We’ll introduce terminology for simple mappings like pitch, timbre, reverberation, and many more. Then we’ll move on to more complex audio mappings, and design considerations for layering sounds in interactive learning tools. 7 videos2 readings2 assignments1 discussion prompt3 plugins For sound designs, it’s important to understand how your users are interpreting and thinking about the mappings. This module will cover the measurements and question types to consider for evaluation, the different types of evaluations, and how to analyze the data generated in the process. Then, we’ll discuss how to make changes to a sound design using what we learned from evaluations. 7 videos1 reading1 assignment1 discussion prompt1 plugin Module 4 will introduce different prototyping and design methods for making sounds. We’ll go through a variety of tools that you can use to make sounds, and where to find other sounds you might want to use. We’ll introduce some programmatic ways of creating sounds and discuss how to embed the sounds into prototypes. 6 videos2 readings1 assignment1 discussion prompt In this module we review best practices. These will come from previous research and also our own work. We’ll review the full process we suggest for successful sound design. This will also be your chance to put all of your skills into practice, and start using the full process to work on a sound design from end to end. 4 videos1 assignment1 discussion prompt6 plugins Module 6 will review the content across all lessons, and consider ways for you to integrate the different steps together -- brainstorming designs, planning an evaluation, deciding on an analysis plan, and redesigning. We’ll also review how you can get involved in future projects. 2 videos1 assignment1 peer review1 discussion prompt9 plugins | 6 modules | Intermediate level | 15 hours to complete (3 weeks at 5 hours a week) | https://www.coursera.org/learn/sound-and-sonification-for-learning | null |
6,350 | Lactation Biology | 8,266 | 4.8 | 36 | Dr. Walter Hurley, PhD | University of Illinois Urbana-Champaign | [] | Lactation and especially milk, which is the product of that unique mammalian process, are routinely encountered within our daily lives. Nevertheless, they often are poorly understood by many, even including many who are engaged in the business of producing milk. The overall course goal is to introduce fundamental concepts that form the basis for understanding the biology of lactation, the biology of the mammary gland, and the products of that important physiological process. As a learner in this course, you will be provided with a series of easily understood presentations that collectively will help you build a foundation for greater understanding of lactation. You will be able to engage with other learners so that you can extend your learning beyond the video presentations. Ultimately, you will be able to construct your own mental model for understanding the wide range of topics that relate to the biology of lactation. Upon completion of the course, you will be prepared to expand your knowledge and understanding of lactation from other sources and experiences as you pursue your individual interests.
Before you start the course, I suggest that you identify a question or several questions about lactation that you already have on your mind. This could be from your own experiences, something you read about or saw, or something you have wondered about. Write down your question(s) and use that to help you decide how to engage with the content of this course. You might engage with the modules in the order they are presented, or start with a module that is of particular interest to you, or pick and choose modules in any order. I encourage you to engage in all of the types of learning activities that this course has to offer, including but not limited to, the discussion forums, quizzes, peer-review assignments, and concept maps and other learning aids. The series of videos and readings provided here are aimed at introducing this course in Lactation Biology. Course organization is described. Requirements for participation in the course are summarized. And, opportunities for learners to engage in the course content, as well as with each other, are indicated. 2 videos5 readings2 assignments1 discussion prompt In this module, we will introduce some basic definitions of terms related to the biology of lactation, provide an overview of milk, and briefly introduce the phylogenetic organization and evolution of mammals. Learning the definitions will be important for establishing a baseline vocabulary that will help reduce confusion about topics presented in subsequent videos. Milk, a primary product of the lactation process, will be introduced in an effort to provide a foundation for later modules in which milk and milk composition are explored in greater depth. The series of videos about mammals collectively offer a brief overview of the wide spectrum of these animal species, as well as some thoughts on how lactation came to be an integral part of the reproductive strategy of those species. 8 videos2 readings2 assignments One of the most fundamental requirements for understanding any aspect of biology is to appreciate the relationships that exist between form and function, or anatomy and physiology. In the case of lactation and the mammary gland, it is important to be able to visualize the various levels of mammary gland structure in order to understand how the mammary gland grows and functions. This module presents an overview of mammary gland anatomy and macrostructure using the dairy cow as our primary example. In addition, the tissue, cellular, and subcellular levels of mammary structure are presented. The module provides a conceptual foundation that will allow you to individually explore mammary gland anatomy and microstructure in other mammalian species. 19 videos2 readings5 assignments1 discussion prompt Milk is the product of the lactation process. Such a simple statement does not come close to doing justice to the complex nature of this biological fluid. In this module, we explore the major components of milk, as well as provide a basis for understanding milk as a product that we purchase in a store. Mechanisms of synthesis of milk components are introduced. And, several videos include discussions of the nature of differences in milk composition among mammalian species, including comparisons of cow milk with human milk. 27 videos2 readings7 assignments1 discussion prompt The tissue that we know of as the mammary gland (or udder or breast) may appear as relatively uncomplicated compared with some internal organs such as the heart or brain. The gland is outside the body wall, has a nipple or teat in most species, and has a series of ducts by which milk that is produced in microscopic blind tubes can be expressed from the gland. How can such a gland develop and what regulates that development? It turns out that the initial stage of development occurs extremely early in the fetal development of the animal. It then proceeds through a series of developmental phases, many of which are closely linked with the reproductive functioning of the animal, and eventually leading to the time when the gland is producing milk. Furthermore, the mammary gland is one of a few tissues that undergoes repeated cycles of development, functioning, regression, and redevelopment, again associated with the reproductive cycles of the animal. This module describes the various stages of mammary development and provides the framework for understanding how these stages relate to each other, as well as to the functionality of the gland. 11 videos2 readings4 assignments3 discussion prompts The peripartum period, the time shortly before, during, and after giving birth, is a time of rapid changes in the mammary gland, the mother, and the neonate. Extensive physiological coordination occurs between the processes leading up to and giving birth, the formation of colostrum, the initiation of lactation in the mammary gland, and the subsequent removal of milk by the neonate. In this module, we explore how the mammary gland changes around the time of giving birth when the gland transitions from a non-lactating to a lactating state. Part of this transition is the production of colostrum, the first mammary secretion produced by the gland after giving birth. Another part of the transition is the changing regulation of mammary gland function from one being driven primarily by hormones associated with pregnancy and parturition to one where milk removal, by the neonate or milking machine, is the driving force in gland function after birth. In this module, we examine some basic characteristics of the neonate, how lactation is initiated (lactogenesis), and the formation and special components of colostrum (immunoglobulins) and their impact on the neonate. 17 videos2 readings6 assignments1 peer review1 discussion prompt In this module, we explore the many facets of lactation as a complex physiological process. We will find that removal of the milk in the gland is critical to continued production of that fluid. The interactions between milk removal, the systemic factors stimulating the gland to produce milk, such as several hormones, and the local factors that inhibit further milk secretion are examined. Some of the effects of milk removal, as well as the absence of milk removal, are discussed in this series of videos. The responses of the mammary gland to milk removal provide a means of understanding the impact of management practices on lactation. 27 videos2 readings5 assignments2 discussion prompts This module introduces the physiological process known as the milk ejection reflex. The neural and endocrine pathways of this process are discussed, as is a broad overview of the hormone responsible for milk ejection, oxytocin. In addition, the consequences of ineffective milk ejection and ways that have been tried to manipulate the milk ejection process are presented. 15 videos2 readings3 assignments1 discussion prompt We typically assume that development of the mammary gland and production of milk are closely regulated by and are coordinated with the reproductive functioning of the animal. Most often that is true. From the knowledge gained from other modules in this course, it is clear that mammary gland development and lactogenesis are heavily regulated by hormones. As it turns out, the presence of mammary gland-regulating hormones is not always directly associated with the reproductive status of the animal. If the hormone activity is present, regardless of its source, it may impact mammary gland development and function. The series of videos in this module presents an overview of what we are calling atypical lactation. That is when the mammary gland undergoes development and lactation in the absence of the usual physiological cues that we associate with the process, such as an animal giving birth. 7 videos2 readings2 assignments1 peer review1 discussion prompt The mammary gland is an excretory gland, meaning that it produces a fluid that is secreted to the outside of the body. These secretions leave the gland through a series of ducts that eventually open to the outside of the skin. The presence of these openings not only means that the mammary secretion can leave the gland, it also means that microorganisms can enter the gland. When that happens, the gland may become infected and present as a disease known as mastitis. Mastitis is an inflammation of the mammary gland, the inflammation most commonly being caused by an infection by a pathogen. Mastitis is the most costly disease in dairy cattle, but is also prevalent in other species, including our own. We will examine many of the aspects of how this disease is manifested using the dairy cow as our primary example in this module. We will examine mastitis at the level of an individual cow, as well as at the whole herd level. And then to fully integrate and apply the knowledge gained about this disease, we will examine several real-life cases of herd-level mastitis problems faced by dairy producers. 19 videos3 readings5 assignments1 peer review1 discussion prompt In this module, we provide a series of videos that expands what has already been learned in other modules about the basic principles of lactation biology to a range of mammalian species. These videos focus on these animals in their native state, as well as some that have been domesticated for use as dairy animals and domestic livestock.
This module is optional. 21 videos2 readings1 assignment | 11 modules | Beginner level | null | https://www.coursera.org/learn/lactation-biology | 97% |
6,351 | Mastering Statics | 16,675 | 4.8 | 193 | Lambros Katafygiotis | The Hong Kong University of Science and Technology | [] | Course Overview: https://www.youtube.com/watch?v=sdom7zBIfkE Statics is the most fundamental course in Mechanics.
In this course, you will learn the conditions under which an object or a structure subjected to time-invariant (static) forces is in equilibrium - i.e. the conditions under which it remains stationary or moves with a constant velocity-.
You will also learn how to calculate the reaction forces as well as the internal forces experienced throughout the structure so that later you can properly design and size the foundation and the members of the structure to assure the structure’s safety and serviceability.
This course is suitable for learners with interest in different Engineering disciplines such as civil engineering, architecture, mechanical engineering, aerospace.
Non engineering disciplines may also find the course very useful, from archaeologist who are concerned about the stability of their excavation sites to dentists interested in understanding the forces transmitted through dental bridges, to orthopedic surgeons concerned about the forces transmitted through the spine, or a hip or knee joint.
The content will be primarily delivered using light board. Prof. Katafygiotis is going to write and sketch with color markers directly on the board while facing you. You will have an exciting and interactive learning experience online! This module introduces the basic operations that learners need to know in order to solve statics problems, we will start by reviewing Newton’s Laws, then introduce Forces and Moments and provide an overview of the vector algebra that governs their operations. 21 videos1 reading1 assignment1 discussion prompt We will study the effect of a system of forces and couples acting on a rigid body and will state the conditions of equilibrium for particles, rigid bodies and assemblies of rigid bodies. The number of independent number of equations that are necessary and sufficient for satisfying equilibrium will be clearly stated. 11 videos1 assignment We will discuss the important notions of stability and static determinacy. These are concepts that often are not presented clearly enough in some of the textbooks, causing confusion to students. 9 videos1 assignment Trusses are in a sense the simplest structures to analyze, used widely in structures such as bridges, industrial roofs, and cranes. We are going to introduce two methods of analysis, namely the method of joints and the method of sections to determine the member internal forces. In addition, we will study a computer-aided method for analyzing trusses. 9 videos1 assignment To be able to deal with more complicated structures and loading scenarios, we will learn how to replace a distributed loading with an equivalent concentrated one using its geometric properties, such as its area and centroid coordinates. We will also learn how to calculate moments of inertia about specific coordinate axes and how to calculate their corresponding values about another translated and rotated system of axes. 22 videos1 assignment We will get to the most important part, which is analyzing frames and beams to calculate their internal forces and to draw axial, shear and moment diagrams. Contrary to most textbook presentations, we will adopt a notation that is universally adopted by engineers when using moment diagrams. 15 videos1 reading In this module, learners will be presented two examples of complex frames for static analysis. Learners should be able to apply what they have learnt in the previous module, calculate and plot the internal force diagrams. By the end of this module. students will be able to correctly draw axial shear and bending moment diagrams of rather complicated frames. 10 videos1 reading2 assignments | 7 modules | Intermediate level | null | https://www.coursera.org/learn/mastering-statics | 97% |
6,352 | Diode - pn Junction and Metal Semiconductor Contact | 12,208 | 4.5 | 273 | Wounjhang Park | University of Colorado Boulder | [] | This course can also be taken for academic credit as ECEA 5631, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course presents in-depth discussion and analysis of pn junction and metal-semiconductor contacts including equilibrium behavior, current and capacitance responses under bias, breakdown, non-rectifying behavior, and surface effect. You'll work through sophisticated analysis and application to electronic devices.
At the end of this course learners will be able to:
1. Analyze pn junction at equilibrium and under bias, capacitance and current characteristics, and breakdown behavior
2. Analyze metal-semiconductor contact at equilibrium and under bias, capacitance and current characteristics, non-rectifying contact and surface effects In this module, we look at pn junction in equilibrium. Topics include: Device structure for pn junction, Energy band diagram at equilibrium for pn junction, Depletion approximation for step junction, Poisson's equation for step junction, Energy band diagram of pn step junction, Beyond depletion approximation, Poisson's equation, Energy band diagram for linearly graded junction, Energy band diagram for heterojunction, and Effect of band alignment for heterojunction. 5 videos4 readings1 quiz1 peer review1 discussion prompt In this module on pn junction under bias, we will cover the following topics: Energy band diagram of pn junction under bias, Capacitance-voltage characteristics, Impact ionization, Avalanche breakdown, Avalanche breakdown voltages, Tunneling current, Zener breakdown, Energy band diagram of pn junction under forward bias, Continuity equation, Boundary conditions, Ideal diode equation, Long- and short-base diodes, Recombination and generation in depletion region, Non-ideal current, Effect of band alignment, and Diffusion and thermionic emission currents. 7 videos3 readings1 quiz1 discussion prompt In this module on metal semiconductor contacts, we will cover the following topics: Device structure, Equilibrium energy band diagram, Electrostatic analysis, Energy band diagram under bias, Capacitance-voltage characteristics, Image charge, Dependence of barrier height on electric field, Energy band diagram of Schottky contact under bias, Thermionic emission current, Ohmic contact by heavy doping in semiconductor, Ohmic contact by low metal work function, Surface states, Fermi level pinning. 6 videos3 readings1 quiz1 peer review1 discussion prompt In this module on LEDs, we will cover the follow topics: Basic operating principles of LEDs, Survey of LEDs, Blue LED and solid state lighting, Basic principle of semiconductor laser, Condition for net stimulated emission, Types of semiconductor laser, Photodiode, Avalanche photodiode, Solar cell operating principle, and I-V characteristics and power output. 4 videos3 readings1 quiz1 discussion prompt | 4 modules | Advanced level | null | https://www.coursera.org/learn/diode-pn-junction-metal-semiconductor-contact | null |
6,353 | Comprehensive Cloud Computing Foundations | Enrollment number not found | Rating not found | null | Packt - Course Instructors | Packt | ['Linux server management'] | This comprehensive course takes you on a deep dive into cloud computing, starting with foundational concepts such as virtual instances, service models, and resource management. The initial lessons cover the differences between IaaS, PaaS, and SaaS, ensuring you understand the core cloud delivery models that are revolutionizing IT infrastructure. You'll explore practical applications through detailed demonstrations on Linode for setting up cloud accounts, deploying virtual instances, and administering them securely. As you progress, you'll move into server management and security, mastering Linux fundamentals and learning how to configure user accounts, enable secure SSH authentication, and lock down server access. You’ll also gain insights into web server technologies, understanding the distinctions between NGINX and Apache, alongside the essentials of database management using SQL and NoSQL. The step-by-step approach ensures a robust understanding of the back-end infrastructure that powers cloud systems.
In the final sections, you’ll focus on advanced topics like scaling cloud resources, implementing firewalls, and securing your servers using industry best practices. Whether you're installing LAMP stacks or enabling network firewalls, the course equips you with the tools and knowledge necessary to manage and expand cloud infrastructures efficiently. With its balance of theory and practical tasks, this course prepares you to handle real-world cloud environments confidently.
This course is designed for IT professionals, system administrators, and developers looking to expand their cloud computing expertise. Prior experience with Linux and basic networking concepts is recommended but not required. In this module, we will cover the basics of cloud computing, its key advantages, and the foundational service models (IaaS, PaaS, SaaS). You will learn about the essential resources, virtual instances, and how cloud computing supports modern business operations. 3 videos2 readings In this module, we will dive deeper into the three primary cloud computing service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). We will examine how each model supports different types of workloads and compare their features. 4 videos In this module, we will walk through the steps of setting up and managing a Linode cloud server. You'll learn how to secure your instance with SSH authentication, deploy virtual servers, and connect remotely using multiple methods. This hands-on guide will build your cloud server administration skills. 11 videos1 assignment In this module, we will introduce Linux, its file system, and common administrative tasks. You will learn essential Linux commands, how to create and secure user accounts, and how to perform basic server configurations. This module is foundational for managing Linux-based cloud environments. 10 videos In this module, we will explore the essential components of web servers and databases. You’ll learn about web hosting options, key differences between NGINX and Apache, and how SQL and NoSQL databases operate. This knowledge is critical for anyone building and maintaining cloud-hosted applications. 11 videos In this module, we will guide you through installing and configuring a LAMP stack on an Ubuntu server, both through the command line and using the Linode Marketplace. You'll also learn to test PHP integration with MariaDB and remotely manage your server using Linode tools. 6 videos1 assignment In this module, we will focus on server security fundamentals, including firewalls and SSH best practices. You’ll learn how to configure network firewalls, apply security rules, and protect server access, ensuring the integrity and safety of your cloud environments. 6 videos In this module, we will examine the methods and best practices for scaling cloud servers. You will learn when to use vertical scaling for capacity increases and how to implement horizontal scaling with auto load balancers for optimal performance under growing workloads. 4 videos1 reading2 assignments | 8 modules | Intermediate level | 9 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/packt-comprehensive-cloud-computing-foundations-neuup | null |
6,354 | Hot Topics in Criminal Justice | 23,018 | 4.6 | 167 | Christopher Slobogin | Vanderbilt University | [] | The American criminal justice system is in need of reform. We incarcerate too many people. We pay insufficient attention to scientific advances that can help separate out the most and least culpable and dangerous. We grant the police far too much power to use force and technological surveillance. As a way of thinking about dealing with these problems, this course examines two over-arching issues: What should we do with people who have committed crime, and how should we identify who they are? On the first issue, we will look closely at the nature and causes of mass incarceration, the death penalty, the lawfulness and usefulness of preventive detention and risk assessment, and the role of the insanity defense and neuroscience in assessing responsibility for crime. On the second issue, we will explore the laws regulating the police use of force, the growing role of technology and big data in facilitating police surveillance and detection and deterrence of crime, and the remedies for police malfeasance, including the exclusionary rule and damages actions.
The overall goal is to help thinking individuals assess today’s criminal justice system and consider ways of making it better. After completing this course, participants should be able to:
1. Describe the mass incarceration problem in the United States and why it might exist;
2. Suggest ways of reducing incarceration;
3. Criticize risk assessment instruments and their use in preventive detention schemes;
4. Discuss the pros and cons of the death penalty, the exclusionary rule, and the insanity defense;
5. Analyze the relevance of neurological evidence in a criminal case;
6. Identify some of the reasons innocent people are wrongly convicted;
7. Elaborate on the role race plays at sentencing and in police use of force, stop and frisk and consent searches and
8. List the types of surveillance technology available to police and the constitutional principles that govern their use. 6 videos4 assignments1 peer review1 discussion prompt2 plugins 6 videos5 assignments1 peer review2 discussion prompts2 plugins 5 videos4 assignments1 peer review1 discussion prompt4 plugins 5 videos5 assignments1 peer review1 discussion prompt4 plugins 5 videos4 assignments1 peer review1 discussion prompt6 plugins 4 videos3 assignments1 peer review1 discussion prompt3 plugins 1 assignment | 7 modules | Beginner level | null | https://www.coursera.org/learn/hot-topics-criminal-justice | 96% |
6,355 | Data Science with NumPy, Sets, and Dictionaries | 1,835 | Rating not found | null | Genevieve M. Lipp | Duke University | ['Data Analysis', 'Python Programming', 'Numpy', 'Object-Oriented Programming (OOP)', 'Arrays'] | Become proficient in NumPy, a fundamental Python package crucial for careers in data science. This comprehensive course is tailored to novice programmers aspiring to become data scientists, software developers, data analysts, machine learning engineers, data engineers, or database administrators. Starting with foundational computer science concepts, such as object-oriented programming and data organization using sets and dictionaries, you'll progress to more intricate data structures like arrays, vectors, and matrices. Hands-on practice with NumPy will equip you with essential skills to tackle big data challenges and solve data problems effectively. You'll write Python programs to manipulate and filter data, as well as create useful insights out of large datasets.
By the end of the course, you'll be adept at summarizing datasets, such as calculating averages, minimums, and maximums. Additionally, you'll gain advanced skills in optimizing data analysis with vectorization and randomizing data.
Throughout your learning journey, you'll use many kinds of data structures and analytic techniques for a variety of data science challenges , including mathematical operations, text file analysis, and image processing. Stepwise, guided assignments each week will reinforce your skills, enabling you to solve problems and draw data-driven conclusions independently.
Prepare yourself for a rewarding career in data science by mastering NumPy and honing your programming prowess. Start this transformative learning experience today! This module, you will learn the basics of object oriented programming as well as how to use sets and dictionaries to store and work with data in Python. You will apply these concepts with Python to perform some mathematical operations and analytical tasks, including solving geometric problems with circles and counting words in a document. 10 videos4 readings4 programming assignments This module, you will learn how to utilize NumPy--one of the most useful Python packages we use in data science--as well as learn additional data structures, arrays, beginning with the simplest type of an array, a vector. With NumPy and your new understanding of vectors, you will develop histograms as well as analyze household income distribution data in the United States, drawing your own data-driven conclusions. 1 video9 readings2 quizzes3 ungraded labs This module, you will first learn how NumPy handles data in your program using views and copies of your data. You will then learn how to work with more complex arrays called matrices, as well as how you can subset, filter, and modify data in matrices. Finally, you will write your own programs to manipulate data matrices and report your results for a given dataset. 1 video14 readings1 quiz3 ungraded labs In this module, you will learn how to use NumPy to summarize data from matrices (e.g., calculating averages, minimums, maximums, etc.) as well as how to begin to analyze and manipulate image data. You will also explore two new data science techniques: how to make your analysis of data matrices more computationally efficient (vectorization) and how to randomize data (randomization). 1 video11 readings1 quiz2 ungraded labs | 4 modules | Beginner level | 30 hours to complete (3 weeks at 10 hours a week) | https://www.coursera.org/learn/numpy-data-science | null |
6,356 | Exam Prep: AWS Certified Solutions Architect - Associate | 32,970 | 4.7 | 179 | Julie Elkins | Amazon Web Services | ['Cloud Computing Security', 'Cloud Computing Architecture', 'AWS cloud'] | This new intermediate-level course from Amazon Web Services (AWS) is designed to help you to assess your preparedness for the AWS Certified Solutions Architect - Associate exam. You will learn how to prepare for the exam by exploring the exam’s topic areas and how they map to architecting on AWS. You will review sample certification questions in each domain, practice skills with hands-on exercises, test your knowledge with practice question sets, and learn strategies for identifying incorrect responses by interpreting the concepts that are being tested in the exam. At the end of this course you will have all the knowledge and tools to help you identity your strengths and weaknesses in each certification domain areas that are being tested on the certification exam. The AWS Certified Solutions Architect – Associate exam is intended for individuals who perform in a solutions architect role. The exam validates a candidate’s ability to design secure and robust solutions by using AWS technologies. The exam also validates a candidate’s ability to complete the following tasks: Design a solution by using appropriate AWS services and by following architectural principles based on requirements. Provide implementation guidance based on best practices to the organization throughout the workload lifecycle.
This course covers material specific to the SAA-C03 version of the AWS Certified Solutions Architect - Associate exam.
In the new version of the exam, many of the domains and task statements were reordered or renumbered; however, most of the content is the same.
Only one task statement for the new version of the exam is NOT included in this course:
Domain 3: Design High-Performing Architectures, Task Statement 5: Determine high-performing data ingestion and transformation solutions.
At the end of the course materials, you will find a new section (“SAA-C03 Updates”) that contains additional information about differences between the exam versions:
SAA-C02 versus SAA-C03
SAA-C03 New Material Welcome to Exam Prep: AWS Certified Solutions Architect - Associate! In this course, we present content on all four knowledge domains that are covered in the exam. It's important to understand that on the exam, questions from all domains are presented in random order. 2 videos2 readings This week, you will get an overview of relevant concepts and services for Designing Resilient Architectures (Domain 1). For this domain, question walkthroughs cover designing a multi-tier architecture solution, designing highly available or fault-tolerant architectures, and decoupling mechanisms by using AWS services. 8 videos1 reading Welcome to Week 2! This week, you will review relevant concepts and services for Designing High-performing Architectures (Domain 2) so you can get a benchmark of your knowledge in this area. Question walkthroughs for this domain address the topics of identifying and selecting storage, network, and database solutions that are elastic, scalable, and high performing. 6 videos1 reading Welcome to Week 3! This week, you will get an overview of relevant concepts and services for Designing Secure Applications and Architectures (Domain 3) so you can get a benchmark of your knowledge in this area. For this domain, the question walkthroughs focus on designing secure access to AWS resources, designing secure application tiers, and selecting the appropriate data security options. 11 videos1 reading Welcome to Week 4! This week, you will review relevant concepts and services on Designing Cost-optimized Architectures (Domain 4) so you can get a benchmark of your knowledge in this area. The question walkthroughs for this domain cover identifying cost-effective storage solutions, selecting compute and database services, and designing cost-optimized network architectures. 9 videos1 reading This week includes a practice assessment that includes questions from all exam domains. 1 video1 reading1 assignment | 6 modules | Intermediate level | 8 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/aws-certified-solutions-architect-associate | null |
6,357 | Become a JavaScript Developer Specialization | Enrollment number not found | 4.7 | 29 | Per Harald Borgen | Scrimba | ['Javascript'] | This specialization equips you with a deep understanding of JavaScript fundamentals, asynchronous programming, and practical problem-solving skills. By the end, you will have the confidence to write sophisticated code and tackle challenging developer interviews. Applied Learning Project The projects range from building a basic passenger counter to crafting a Blackjack game and developing a mobile app with database integration, culminating in a Chrome extension for lead tracking. Learners will apply their JavaScript skills in varied real-world scenarios, harnessing the power of web and mobile development, game logic, and browser extension creation to provide practical solutions and engaging user experiences. The basics of the JavaScript programming language, like variables, data types, functions, loops, conditionals, and more. How to use JavaScript to build real-world web apps How to use professional software development tools for coding, collaboration, and deployment How the JavaScript programming language works, all the way from the basics to the advanced concepts Basic computer science concepts like variables, data types, functions, conditionals, loops, and much more. How to build real-world web apps using the JavaScript programming language JavaScript Tech interview practice | 3 course series | Beginner level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/javascript | null |
6,358 | Advanced Statistical Analysis and Tools | Enrollment number not found | Rating not found | null | Skill-Up EdTech Team | SkillUp EdTech | ['Process Improvement', 'DMAIC methodology', 'Six Sigma', 'Statistical analysis and tools', 'Design of Experiments (DOE)'] | This course is designed to guide you on how to prepare for the American Society for Quality Certified Six Sigma Black Belt (ASQ CSSBB) certification, a mark of quality excellence across industries. The course offers insights into the statistical tools for drawing valid conclusions, depicting relationships, analyzing measurement systems, testing hypotheses, designing experiments, applying statistical process control, and leading advanced Six Sigma projects across the enterprise.
By the end of this course, you will be able to:
- Identify the statistical analysis tools required for quality and process improvement in each phase of the DMAIC methodology.
- Describe the statistical processes of each phase of the DMAIC methodology used for operational efficiency.
- Apply statistical analysis tools for representing relationships, analyzing systems, and testing hypotheses.
- Implement design experiments and apply statistical process control to streamline business processes.
This course is best suited for employees working in process improvement teams, including individuals with significant experience leading and executing Six Sigma, lean, or other quality improvement projects. In this module, you will learn about the various statistical tools you can use for process analysis and data collection. The module delves into the statistical technique of measurement system analysis (MSA). You will also learn how to use graphical tools to construct and interpret diagrams and charts. You will be equipped with how the results of statistical studies are used to draw valid conclusions, the distribution methods relevant to probability, and the techniques used for process capability. Finally, you will learn to interpret the difference between short-term and long-term capabilities. 8 videos2 readings3 assignments1 discussion prompt In this module, you will learn how to measure and model relationships between variables. You will explore the correlation coefficient, linear regression, and multivariate tools. The module also delves into applying the key concepts of hypothesis testing, such as the significance of testing, calculating sample size, and analyzing waste. You will become acquainted with techniques such as point and interval estimates and tests for means, variances, and proportions. Additionally, you will learn the analysis of variance (ANOVA) and goodness-of-fit (chi-square) tests and the techniques for analyzing and managing risk. 7 videos1 reading3 assignments1 discussion prompt In this module, you will explore the key concepts of the design of experiments (DOE). You will also learn how to apply the principles of DOE, such as power, sample size, balance, repetition, replication, order, efficiency, randomization, blocking, interaction, confounding, and resolution. The module will take you through planning and evaluating different types of experiments in DOE and various types of Lean methods you can use for process improvement, like waste elimination, cycle-time reduction, Kaizen, and others. Additionally, the module focuses on statistical process control (SPC) and other controls that help to streamline business processes. Finally, you will learn how to sustain process improvements using methods like documentation, training, and evaluation. 5 videos1 reading2 assignments1 discussion prompt This is a peer-review assignment based on the concepts taught in the Advanced Statistical Analysis and Tools course. In this assignment, you have been provided with a real-life scenario. You must explain how you can use process capabilities and their related metrics in process improvement. 1 video2 readings1 peer review | 4 modules | Intermediate level | 7 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/advanced-statistical-analysis-and-tools | null |
6,359 | Summary Statistics in Public Health | 55,540 | 4.8 | 1,917 | John McGready, PhD, MS | Johns Hopkins University | ['Statistics', 'Normal Distribution', 'summary measures', 'binary data'] | Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. In this course, we'll focus on the use of statistical measurement methods within the world of public health research. Along the way, you'll be introduced to a variety of methods and measures, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meir curve. Within this learning module, you will learn how statistics are used within public heath research. Topics covered include study design types, data types, and data summarization. You will complete a practice quiz before completing a graded quiz. 6 videos1 assignment Module two involves several lectures, a practice quiz and a graded quiz. Topics include summary statistics, visual displays, role of sample size, and continuous data. 6 videos1 reading2 assignments The focus of this module is on normal distribution. Topics covered include defining the standard normal distribution, and application of principles of normal distribution to sample data. There is a practice quiz where you can test your knowledge before completing the graded quiz. 5 videos2 assignments Module four covers binary data and its significance. In addition to lectures, you will complete a practice quiz and a graded quiz. 6 videos1 reading2 assignments In module five, you will explore how time is defined and studied in relation to data and learn about the Kaplan-Meir curve. In addition to a practice quiz, you will complete a graded quiz and project. 6 videos1 reading2 assignments During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about asthma medication and the other about self-administration of injectable contraception. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies. 2 readings1 assignment | 6 modules | Beginner level | null | https://www.coursera.org/learn/summary-statistics | 96% |
6,360 | Arabic for Beginners: Arabic in the Workplace | Enrollment number not found | 4.8 | 12 | Dr. Sami Bachir Mejri | Khalifa University | ['Arabic vocabulary for body parts and exercise', 'Arabic in diverse workplace', 'Arabic in education', 'Arabic in technology'] | This course is the third and last of a three-course specialization in elementary Arabic. This course delves into Modern Standard Arabic in various settings in real-life situations, including education, workplace, technology, sports, and more. At the end of this last course, the students will be tested on their summative, comprehensive Arabic skills to assess their competency in Modern Standard Arabic. 2 videos2 readings 2 videos1 reading3 assignments1 discussion prompt 1 video1 reading1 assignment1 discussion prompt 3 videos1 reading4 assignments2 discussion prompts 2 videos1 reading2 assignments1 discussion prompt 1 video1 assignment1 discussion prompt | 6 modules | Intermediate level | 8 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/arabic-for-beginners-3-arabic-in-the-workplace | null |
6,361 | Designing Effective Science Communication | 7,021 | 4.6 | 104 | Melanie Peffer | University of Colorado Boulder | ['Learning Engineering', 'Science Education', 'Science Communication', 'Science Literacy', 'Science Writing'] | Although many would prefer to leave science in the past and no longer engage with it once completing compulsory science classes in school, the reality is that engaging with science is an integral part of our daily lives. Moreover, for the safety and wellness of human society, it is necessary to engage with scientific information. We are faced with the necessity of examining scientific evidence on topics ranging from conservation to public health and make decisions that impact not only our families but those around us. However, in spite of decades of science education reform and dedicated efforts to improving science literacy, many members of the general public lack the confidence, skills, or interest in engaging with scientific issues, instead choosing to align their scientific decisions with non-scientific stakeholders, such as political or pop culture figures. These problems are ongoing and destructive. How do we communicate science more effectively with the general public? With other scientists? This course is designed for scientists, science educators, and science communicators who are interested in re-thinking how we communicate science to diverse audiences, particularly to the general public. Topics include evidence-based considerations of human learning as well as effective communication through a variety of modalities, including oral presentations, written forms of communication, technology, and artistic media. The objective of this course is to equip learners with the skills needed to design and implement effective methods of science communication. Learners will be able to identify key principles of human learning that undergird science communication, describe pitfalls in “popular” avenues for science outreach, and apply best practices to science communication in a variety of media. In this module, you will learn the basics of human learning, including an overview of the cognitive processes that underlie learning (e.g. perception, attention, motivation, memory), major educational psychology theories (e.g socioculturalism, constructivism, behaviorism) and aspect of human cognition that can lead to difficulties with outreach (e.g. bias, motivated reasoning, epistemic cognition). We will also discuss use of evidence in designing outreach, how to evaluate types of evidence, and principles behind effective design of outreach. 5 videos4 readings1 assignment1 discussion prompt1 plugin In this module, you will learn important considerations for effective oral presentations, including best practices for giving live, recorded, and virtual presentations. In addition, we will also cover best practices for creating visual supports (poster, PowerPoint slides) to help communicate your message during an oral presentation. We will also discuss best practices for media interviews. 3 videos6 readings2 discussion prompts In this module, you will learn best practices for writing as a vehicle for science communication. Rather than focusing on grammar and general writing mechanics, this section will focus on how to effectively use the written form as a tool for science outreach, including how formal scientific writing varies from pieces for the general public. 3 videos3 readings1 peer review1 discussion prompt In this module, you will learn about technological forms of science communication outside traditional media (e.g. written or oral communication). In this module, we will discuss how science is communicated through various forms of educational technologies, including computer games, simulations, and social media. We will also briefly discuss learning analytics and their utility in understanding learning in technology-based environments. 4 videos1 reading2 discussion prompts In this module, you will learn about the importance of artistic forms of science communication. The arts can serve as an important gateway between scientists and the rest of society making difficult or abstract concepts feel more personal and less intimidating. Here, we will talk about use of art, such as photography as well as music to help feel others connected to science topics. 4 videos6 readings1 peer review1 plugin | 5 modules | Beginner level | 10 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/designing-effective-science-communication | null |
6,362 | Amazon Lex Getting Started | Enrollment number not found | Rating not found | 1 | AWS Instructor | Amazon Web Services | [] | Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces for voice and text. In this course, you will learn the benefits and technical concepts of Amazon Lex. If you are new to the service, you will learn how to start with Amazon Lex through a demonstration using the AWS Management Console. You will learn about the Amazon Lex architecture and how its built-in features can help you quickly build sophisticated, natural language conversational bots, or chatbots. Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces for voice and text. In this course, you will learn the benefits and technical concepts of Amazon Lex.
If you are new to the service, you will learn how to start with Amazon Lex through a demonstration using the AWS Management Console. You will learn about the Amazon Lex architecture and how its built-in features can help you quickly build sophisticated, natural language conversational bots, or chatbots. 1 reading1 assignment | 1 module | Beginner level | 1 hour to complete | https://www.coursera.org/learn/aws-amazon-lex-getting-started | null |
6,363 | Oceanography: a key to better understand our world | 29,096 | 4.5 | 266 | Jordi Serra | Universitat de Barcelona | [] | The course for a round the world regatta leads the boats through the Mediterranean Sea and the Atlantic, Southern Indian and South Pacific Oceans. On their voyage, the skippers come across a large variety of oceanographic situations: strong currents, floating ice, wave formations of every kind and biological diversity. In this course the student will learn about the foundations of the science of oceanography. You'll learn about the classification and formation of the ocean floor, how current sea satellite analysis systems work, the chemistry of the oceans and the processes that led to its formation.
To follow this course does not require previous knowledge of oceanography. Module 1 addresses some of the fundamental concepts of descriptive oceanography related to the physical characteristics of water: the vertical distribution of temperature and salinity, TS diagram, stability and destabilization of the water column, the formation of water dense and deep, the water masses and circulation. It is necessary also introduces concepts to understand the relationship between the distribution of the mass of water, its surface topography of a regional or larger scale, and called geostrophic circulation, where it plays a fundamental role the Coriolis force. While the concepts presented have general applicability, examples are the Mediterranean, starting with the characteristics of the waters near Barcelona, where it begins and ends the Barcelona World Race, and ending with the general circulation of the water masses around the Mediterranean. 5 videos13 readings1 assignment In this module you will learn how dense waters and water bodies are formed. Where the Mediterranean will be used as a model of ocean. As well as some of the fundamental concepts of marine dynamics, which is how the Coriolis and pressure gradient force is formed. Besides the importance of dynamic topography and geostrophic flow. Hope will be to your liking. 4 videos8 readings1 assignment This module will enter fully into the Global Ocean, will review and generalize the aspects previously referred to in the previous module. We will see the role of the ocean on a global scale, and how we can affect those who live closer or farther from the coast. Try to understand why it is still quite unknown and will glance nose in the marine environment. That is, how it behaves for those living beings, most who live within the ocean or in direct contact with him. 12 videos18 readings1 assignment In this module you will learn the importance of ocean observation by satellite, talk about remote sensing, electromagnetic radiation emitted and reflected, and the importance of their study for navigation. 4 videos9 readings1 assignment This new module will expand the study of oceanography satellite, and microwave as for obtaining information are used. What are they and what is the importance of active sensors. And finally, other applications of satellites and their importance. 8 videos15 readings1 assignment In this section you will learn ocean chemistry what is it? how does it work? What is the vertical axis of the biosphere and the vertical segregació of the elements and how it works? What is carbon carbonate system and what is its relationship with the ocean conveyor belt?. The answers to all these questions will help us understand how the oceans work, the importance for navigation and its relationship to the planet's climate. 5 videos19 readings1 assignment The result of the evolution of the crust of the Earth: a set of land masses and ocean basins in continuous motion over crust. With a little history we will achieve understand the result of the evolution of the crust of the earth and the diversity of ocean domains: the continental margins to large tanks. Large ocean basins 11 videos15 readings1 assignment | 7 modules | null | 29 hours to complete (3 weeks at 9 hours a week) | https://www.coursera.org/learn/oceanography | 96% |
6,364 | C# for .NET Developers | 14,468 | 4.1 | 233 | Board Infinity | Board Infinity | ['Exception Handling Techniques', '.net framework', 'C# programming', 'Object-Oriented Programming (OOP)', 'ASP.NET Fundamentals'] | In this comprehensive course, learners will dive deep into the foundations of C# programming, an essential component of the .NET framework. The course begins by exploring the basics of programming concepts such as variables, data types, and control structures. Then it progressively ventures into more advanced topics, including object-oriented programming (OOP). The course unfolds through the following core modules:
The "Introduction to ASP.NET" module offers participants a comprehensive understanding of ASP.NET and its architecture. It covers how to create dynamic web applications using ASP.NET, construct web forms, work with server controls, and use data sources to retrieve and display information.
In the "C# Programming Fundamentals" module, participants will delve into the syntax, concepts, and principles of C#. It extensively covers aspects such as data types, variables, operators, expressions, control structures, as well as the basics of creating and calling methods and functions.
The "Advanced C# Programming" module provides an in-depth exploration of advanced C# programming concepts and techniques. This encompasses advanced programming constructs such as LINQ, delegates, events, and object-oriented programming principles like inheritance, polymorphism, and encapsulation. It also covers advanced topics in exception handling, threading, and asynchronous programming.
By the end of the course, you'll have a solid understanding of C# programming, the .NET framework, and how to use them to build a variety of applications. You'll have the skills and knowledge you need to start your career as a C# developer or take your current skills to the next level. Introduction to ASP.net is a module designed for individuals who want to learn the ASP.net framework. The module provides a comprehensive overview of development concepts and how they relate to ASP.net. Participants will learn how to create dynamic web applications using ASP.net, including building web forms, working with server controls, and using data sources to retrieve and display information. Additionally, the course covers the basics of programming in C# and introduces participants to the .NET framework. 13 videos4 readings3 assignments1 discussion prompt The C# Programming Fundamentals module is designed to equip learners with a solid foundation in the syntax, concepts, and principles of C# programming language. The module covers various topics, starting with an introduction to the C# programming language, including its history and significance in modern software development. It then progresses to cover essential aspects of programming in C# such as data types and variables, including integer, floating-point, Boolean, and string types. The module also covers the use of arithmetic, logical, and comparison operators in C#, as well as expressions and their evaluation. Learners will also explore conditional statements, loops, and branching statements in C# to control program flow, as well as the basics of creating and calling methods and functions, including passing arguments and returning values. 23 videos4 readings4 assignments The Advanced C# Programming Fundamentals module is designed to provide learners with an in-depth understanding of advanced C# programming concepts and techniques. The module covers various topics, starting with an overview of advanced programming concepts such as LINQ, delegates, and events. It then progresses to cover advanced object-oriented programming principles such as inheritance, polymorphism, and encapsulation, as well as advanced techniques for working with classes and objects, such as extension methods, interfaces, and abstract classes. The module also covers advanced topics in exception handling, threading, and asynchronous programming, including how to create and work with asynchronous and parallel code. 25 videos6 readings3 assignments | 3 modules | Intermediate level | 17 hours to complete (3 weeks at 5 hours a week) | https://www.coursera.org/learn/c-sharp-for-dot-net | null |
6,365 | ARM Cortex (STM32) Fundamentals: Building Embedded Systems | Enrollment number not found | Rating not found | null | EDUCBA | EDUCBA | ['Embedded system using C', 'List Of Arm Microarchitectures', 'C Programming', 'Embedded Systems', 'ARM cortex', 'C Data Types (C Programming Language)'] | Upon completing this course, you will: Master the use of floating-point data types and input/output handling in C.
Understand and apply various operators and decision-making constructs in C programming.
Execute advanced bitwise operations and control LEDs using embedded C.
Achieve proficiency in bitwise manipulation and loop constructs for efficient code iteration and embedded system control.
Course Description
Embark on a comprehensive journey through ARM Cortex (STM32) Fundamentals: Building Embedded Systems. This course begins with essential data manipulation and input/output handling techniques, advancing your understanding of floating-point data types and versatile user input methods. Dive into operators and decision-making constructs, mastering <stdint.h> for standardized integer types and honing skills in relational and logical operators.
Explore the complexities of bitwise operations, enabling precise LED control through embedded C programming. Elevate your proficiency with bitwise manipulation, mastering loop constructs for efficient code iteration and intricate LED control sequences.
By course end, you will possess the essential skills required for developing sophisticated embedded systems using ARM Cortex (STM32) technology. This course's unique focus on practical, hands-on applications and advanced techniques ensures you gain robust, real-world competencies in embedded systems development.
Target Learners
This course is ideal for:
1) Aspiring embedded systems engineers who want to gain a solid foundation in ARM Cortex (STM32) microcontroller programming.
2) Electronics and computer engineering students seeking practical experience in embedded systems.
3) Professional engineers looking to enhance their skills in embedded C programming and ARM Cortex (STM32) development.
Prerequisites
Before taking this course, learners should have:
1) Basic knowledge of C programming, including variables, data types, and basic control structures.
2) Familiarity with general computer programming concepts and logic.
3) An understanding of basic electronics principles, such as voltage, current, and circuit components.
4) A willingness to learn and experiment with embedded systems hardware and software. This module delves into fundamental concepts of data manipulation and input/output handling in C programming. Participants will grasp the nuances of floating-point data types like float and double, and master the use of scanf() for flexible user input, including scientific notation. They will also delve into the intricacies of pointer variables and data types, learning initialization and operations, along with discerning the significance of diverse pointer data types. By the end, learners will be proficient in effectively handling data and input/output operations, crucial skills for any C programmer. 18 videos2 readings5 assignments1 discussion prompt2 ungraded labs This module focuses on essential components of C programming, empowering learners with foundational skills. Participants will grasp the importance of <stdint.h> for standardized integer type definitions, enabling consistent data handling. They will then delve into the diverse realm of operators in C, mastering unary, relational, and logical operators, pivotal for data manipulation. The module progresses to decision-making constructs, teaching effective implementation of if, if-else, and if-else-if ladder statements. Finally, participants will explore the switch case statement and conditional operators, enhancing their proficiency in decision-making logic. By the end, learners will be equipped with a robust toolkit for effective C programming. 18 videos5 assignments1 discussion prompt2 ungraded labs This module delves into the intricate world of bitwise operations and embedded C programming, equipping participants with advanced skills. Learners will master the application of bitwise operators in C, adeptly manipulating bits to determine even/odd numbers and perform efficient XOR operations. They will then explore the implementation of embedded C code to control LEDs, gaining insights into memory-mapped peripheral registers and the STM32 memory map. The module culminates in a comprehensive understanding of the process of activating LEDs, involving enabling peripheral clocks and coding precise activation sequences. By the end, participants will be proficient in advanced bit manipulation and embedded systems development. 19 videos1 reading5 assignments1 discussion prompt1 ungraded lab This module is dedicated to enhancing participants' proficiency in advanced C programming techniques. It begins with an exploration of bitwise shift operators, enabling efficient data manipulation, modification of LED exercises, and precise bit extraction. Learners will then delve into mastering looping concepts, including while and do-while loops, for streamlined iteration through code sequences. The module culminates in the effective implementation of the 'for' loop construct, empowering participants to solve complex exercises and implement software delays for precise LED control. By the end, participants will have honed their skills in advanced data manipulation and efficient code iteration in C programming. 16 videos1 reading4 assignments1 discussion prompt1 ungraded lab | 4 modules | Intermediate level | 13 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/arm-cortex-fundamentals-building-embedded-systems | null |
6,366 | Sustainable Digital Innovation | 8,853 | 4.5 | 173 | Jan Agri | EIT Digital | ['Green Strategy', 'Sustainable Innovation', 'Business Modeling', 'Sustainable Leadership', 'Corporate Sustainability'] | Two of our most profound business challenges are digitalization and sustainability. They are rapidly changing the way we are doing business both today and in the future. Therefore, in the Sustainable Digital Innovation course, we explore the business opportunities that can open up when we align our strategy with sustainability goals. You will gather knowledge on:
* understanding the sustainable contextual framework
* the methods and tools for your business to address various sustainability challenges
* how digital technologies can help you support sustainable development in business and society
* the existing and emerging cases of digitally-enabled sustainable solutions
Your course leads, Program Director - Staffan Movin, and Jan Agri - Senior Advisor Circular Economy, will guide you through the various perspectives of the field, providing you with the methods and tools you need based on applied research findings. You will also get valuable insights from major business leaders and experts. For example, you will meet:
- Björn Stigson, former President of The World Business Council for Sustainable Development (WBCSD)
- Elaine Weidman Grunewald, Sustainability executive, author, board member, founder of AI Sustainability Center, and former SVP at Ericsson
- Henrik Henriksson, former President and CEO of Scania
- Annika Ramsköld, Vice President Sustainability, Vattenfall.
After the completion of this course, you can deepen your knowledge with the live professional course, Sustainable Digital Innovation. For more information and registration details follow this link: https://professionalschool.eitdigital.eu/sustainable-digital-innovation During the pandemic, many businesses have enforced their investments in sustainable solutions. In a post-covid world, sustainable solutions will be encouraged by incentives and regulations. It is therefore valuable to understand the role of leadership at the time of a major crisis with an emphasis on transformation in order to thrive in a more sustainable and digital business context. 3 videos8 readings1 assignment2 discussion prompts Welcome to the second week of the course! This week we will focus on the integration of sustainability into business. Companies addressing sustainability as a regulation tend to have more difficulties in gaining business advantages and profitability then companies that incorporate sustainability as a central part in their way of doing business. The following lessons will support integration ambitions. 4 videos8 readings1 assignment1 discussion prompt Welcome to the third week of the course! Revenues in industrial companies are coming from multiple sources as digitalization and services become even more important. As sustainability becomes more important for customers as well as shareholders and other stakeholders, we must get better at incorporating and aligning sustainability with business offerings. 3 videos6 readings1 assignment1 discussion prompt Welcome to the fourth week of the course! Challenges can also be opportunities. As the market changes and customers and society search for more sustainable solutions new sustainable opportunities arise as we are witnessing dematerialization, servicification and digitalization. But to really grasp opportunities, we need to understand the wider system along the current and future value chain. 3 videos6 readings1 assignment1 discussion prompt Welcome to the fifth and last week of the course! We have over the last weeks viewed ways to align and use. In the online courses we provide we will develop methods and tools even further. But in order to succeed with the integration of sustainability in your offerings it is important to prepare for the transformation. A transformation that goes beyond the regulatory framework and ensure that your ambitions are sustainable and valuable for the company as well as for the broader scope. 1 video4 readings1 assignment1 discussion prompt | 5 modules | Intermediate level | 13 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/sustainable-digital-innovation | null |
6,367 | Fortinet Network Security Specialization | 1,750 | 4.5 | 40 | Fortinet Training Institute | Fortinet, Inc. | ['Cybersecurity', 'Network Security', 'User authentication', 'Content Inspection', 'Network Support Engineering', 'Computer Security', 'Virtual Private Networks (VPN)', 'Cyber Security Strategy', 'Cybersecurity', 'Network Security', 'User authentication', 'Content Inspection', 'Network Support Engineering', 'Computer Security', 'Virtual Private Networks (VPN)', 'Cyber Security Strategy'] | This Specialization is intended for cybersecurity professionals seeking to develop their network security skills and knowledge. Through five courses, you will learn how to deploy, design, manage, support, and analyze advanced Fortinet network security solutions. This specialization will provide you with a solid understanding of how to implement, manage, and support an enterprise security infrastructure composed of multiple Fortinet devices. Applied Learning Project During the first three courses, students will learn about the cybersecurity products that comprise the core of all Fortinet Network Security solutions. During the last two courses, students will learn how to integrate those core products to design, deploy, administrate, and support an enterprise security infrastructure. How to use the most common FortiGate features. The fundamentals of using FortiManager for the centralized network administration of many FortiGate devices. Learn how to implement and centrally manage an enterprise security infrastructure composed of multiple FortiGate devices. How to deploy, configure, and secure FortiAnalyzer. How to register and manage devices with FortiAnalyzer. Explore the fundamentals of the logging and reporting management capabilities included on FortiAnalyzer. How to diagnose and troubleshoot the most common networking and security problems in a Fortinet protected network security solution. | 5 course series | Intermediate level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/fortinet-network-security | null |
6,368 | Preparing for Google Cloud Certification: Cloud Architect Professional Certificate | 118,873 | 4.7 | 10,975 | Google Cloud Training | Google Cloud | ['Load Balancing', 'Virtual Private Network (VPN)', 'Google Cloud Platform', 'Autoscaling', 'Google Compute Engine', 'Virtual Machine', 'Network Architecture', 'Google App Engine (GAE)', 'Cloud Computing'] | Google Cloud Professional Cloud Architect certification was ranked#2on Global Knowledge's list of 15 top-paying certifications in 2021Opens in a new tab! Enroll now! to prepare! This program provides the skills you need to advance your career in cloud architecture and provides a pathway to earn the industry-recognized Google Cloud Professional Cloud Architect certification. You'll deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through hands-on Qwiklabs projects that you can share with potential employers. You'll also have the opportunity to practice key job skills, including case analysis, identifying technical watchpoints, and developing proposed solutions. Test your basic abilities with Activity Tracking Challenge Labs. For learners looking to get certified, this program will provide sample questions similar to those on the exam, including solutions and practice exam quizzes that simulate the exam-taking experience. Upon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers. If you'd like to earn your Google Cloud certification, you will need to register for and pass the certification exam. Please note that this program helps equip you with the skills you need to take the certification exam, but the certification and certification fee is not included in the cost of this training program. Applied Learning Project This professional certificate incorporates hands-on labs using our Qwiklabs platform. These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules. Identify the purpose and value of Google Cloud products and services. Define how infrastructure is organized and controlled in Google Cloud Explain how to create a basic infrastructure in Google Cloud Select and use Google Cloud storage options Interact with the Google Cloud console and Cloud Shell Deploy solutions using Google Cloud Marketplace Implement VPC networks and firewall rules Create and customize VM instances using Compute Engine Administer Identity and Access Management for resources. Implement data storage services in Google Cloud Manage and examine billing of Google Cloud resources. Monitor resources using Google Cloud's operations suite Connect your infrastructure to Google Cloud. Configure load balancers and autoscaling for VM instances. Automate the deployment of Google Cloud infrastructure services. Leverage managed services in Google Cloud. Define application requirements and express as KPIs, SLOs, and SLIs. Build microservice applications and architect cloud and hybrid networks. Choose appropriate Google Cloud storage and deployment services. Secure cloud applications, data, and infrastructure, and monitor service levels. Understand the difference among Google Cloud compute platforms Understand the components and architecture of Kubernetes Store container images in Container Registry List the five domains covered on the Professional Cloud Architect certification exam. Identify gaps in your knowledge and skills for each domain and create a study plan. Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. | 7 course series | Intermediate level | 1 month (at 10 hours a week) | https://www.coursera.org/professional-certificates/gcp-cloud-architect | null |
6,369 | Oil & Gas Industry Operations and Markets | 146,575 | 4.8 | 5,986 | Lincoln Pratson | Duke University | ['Energy', 'Geology', 'Directional Drilling', 'Enhanced Oil Recovery'] | The oil and gas industry has an enormous impact on all aspects of daily life. Individuals, corporations, and national governments make financial and policy decisions based on the cost, use, and availability of these two natural resources. This two-week course looks at the two most fundamental aspects of the oil and gas industry, its operations and markets, each of which is addressed as a separate module in the course. In the operations module, the course provides an overview of the production of oil and gas, from initial exploration to final transport. The second module focuses on the forces that drive the industry's operations, the oil and gas markets, including the cost of wells, seasonal impacts on prices, and the role of oil reserves. After every lesson, learners will take short quizzes to test their newly acquired knowledge, participant in crowd-sourced discussions about global markets, and complete a final project. In this module, you will learn about the core activities that the Oil and Gas Industry executes to bring natural gas and petroleum products to market. We will look at the exploration and production of oil and gas, the processing and refining of the oil and gas into useable fuels and other valuable commodities, and finally the transport of oil, gas, and petroleum products from wells to refineries to retail outlets. 16 videos4 assignments In this second module, the course shifts to the markets that drive Oil and Gas Industry operations. You will learn about the various costs of the core oil and gas industry activities, the factors that determine the prices that oil, gas and petroleum products sell for, and the effect that the amount of oil and gas remaining in the ground has on the future viability of individual companies to the Industry as a whole. 14 videos3 assignments1 peer review | 2 modules | null | 7 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/oilandgas | 97% |
6,370 | GenAI for Product Managers | Enrollment number not found | Rating not found | null | Alfonso Rodríguez Cotes | Coursera Instructor Network | ['Market Analysis', 'Idea generation', 'Prototyping', 'Development Process Automation', 'Product Personalization', 'Idea Generation'] | As part of the GenAI Academy, "GenAI for Product Managers in R&D" explores how Generative Artificial Intelligence (GenAI) is transforming the field of product management in research and development. This course is an introduction where learners will discover the key capabilities of GenAI and uncover practical strategies to leverage these powerful tools in their day-to-day product management work. Through a combination of discussions, video demos, and guided hands-on activities, learners will gain an understanding of how GenAI can enhance productivity in areas such as idea generation and prototyping, market analysis and product personalization, development process automation, and product documentation.
This course is for team leads and managers identifying GenAI opportunities and guiding product development teams, product managers seeking to enhance workflows with GenAI, and aspiring product managers aiming to future-proof their skills and gain a competitive edge.
Participants should be familiar with product management concepts and workflows, including development processes, ideation, prototyping, and market analysis. Essential knowledge includes project management software and market research tools, along with experience in Agile and Lean methodologies. An open mindset towards Generative AI (GenAI) tools and curiosity about enhancing workflows with GenAI are crucial. While deep technical knowledge isn't required, some prior exposure to product management will help contextualize the course content. This course is an introduction where learners will discover the key capabilities of GenAI and uncover practical strategies to leverage these powerful tools in their day-to-day product management work. Learners will also consider the ethical concerns surrounding the use of GenAI in product management, examining potential risks and challenges, as well as best practices for responsible implementation. 6 videos5 readings1 assignment1 peer review | 1 module | Beginner level | 2 hours to complete | https://www.coursera.org/learn/genai-for-product-managers | null |
6,371 | Foundations and Core Concepts of PyTorch | Enrollment number not found | Rating not found | null | Packt - Course Instructors | Packt | ['Deep Learning', 'Machine Learning', 'PyTorch (Machine Learning Library)', 'neural network'] | In this comprehensive course, you'll embark on a journey through the foundational elements and core concepts of PyTorch, one of the most popular deep learning frameworks. Starting with a detailed overview and system setup, you'll be guided through installing and configuring your environment to ensure a smooth learning experience. The course then transitions into the basics of machine learning and artificial intelligence, laying the groundwork for more advanced topics. As you delve deeper, you'll explore the intricacies of deep learning, including model performance, activation and loss functions, and optimization techniques. Each module builds on the last, gradually increasing in complexity. You'll learn to construct neural networks from scratch, understanding every component from data preparation to the backpropagation process. This hands-on approach ensures you not only grasp theoretical concepts but also gain practical skills in building and training your models.
The course culminates in a detailed look at PyTorch-specific modeling. You will work on real-world exercises, such as implementing linear regression and hyperparameter tuning, using PyTorch’s powerful features. By the end, you'll be well-equipped to tackle complex deep learning problems, confident in your ability to utilize PyTorch effectively for your AI and machine learning projects.
This course is ideal for tech professionals, data scientists, and AI enthusiasts looking to master PyTorch for deep learning. Prerequisites include prior experience in Python and a basic understanding of machine learning concepts. In this module, we will introduce you to the course structure, covering the main topics and learning objectives. You'll learn how to set up your system, including installing necessary software and creating a conda environment. We'll also guide you on accessing course materials and provide tips for navigating the course efficiently. 6 videos2 readings In this module, we will delve into the basics of machine learning. You will start with an introduction to artificial intelligence and its core concepts. The module will then explore the essentials of machine learning and provide an overview of different machine learning models, laying the groundwork for more advanced topics. 3 videos In this module, we will explore the foundational concepts of deep learning. You will gain insights into deep learning models, their performance evaluation, and the evolution from perceptrons to neural networks. The module also covers various types of neural network layers, activation functions, loss functions, and optimization techniques, providing a robust understanding of deep learning frameworks. 9 videos1 assignment In this module, we will focus on evaluating machine learning models. You will learn about underfitting and overfitting, and how to mitigate these issues. The module will also cover the train-test split method and its importance in model evaluation, along with various resampling techniques to manage imbalanced datasets effectively. 3 videos In this module, we will guide you through the process of constructing a neural network from scratch. You will start with data preparation and model initialization and proceed to implement essential functions such as forward and backward propagation. The module also covers training and evaluation techniques to help you build and assess your neural network model effectively. 12 videos1 assignment In this module, we will explore the concept of tensors and their significance in PyTorch. You will learn about the relationship between tensors and computational graphs and gain hands-on experience with tensor operations through coding exercises. This module aims to equip you with the skills to apply tensors in real-world machine learning scenarios. 3 videos In this module, we will introduce you to PyTorch modeling. You will learn to build and train models from scratch, including linear regression. The module covers batch processing, datasets, and dataloaders to manage data effectively. You will also explore techniques for saving, loading, and optimizing models, including hyperparameter tuning, to enhance your machine learning workflow. 15 videos1 reading2 assignments | 7 modules | Intermediate level | 6 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/packt-foundations-and-core-concepts-of-pytorch-jmkne | null |
6,372 | Python Programming Essentials | 94,522 | 4.8 | 3,453 | Scott Rixner | Rice University | ['Codeskulptor', 'Python Syntax And Semantics', 'Python Programming', 'Debugging'] | This course will introduce you to the wonderful world of Python programming! We'll learn about the essential elements of programming and how to construct basic Python programs. We will cover expressions, variables, functions, logic, and conditionals, which are foundational concepts in computer programming. We will also teach you how to use Python modules, which enable you to benefit from the vast array of functionality that is already a part of the Python language. These concepts and skills will help you to begin to think like a computer programmer and to understand how to go about writing Python programs. By the end of the course, you will be able to write short Python programs that are able to accomplish real, practical tasks. This course is the foundation for building expertise in Python programming. As the first course in a specialization, it provides the necessary building blocks for you to succeed at learning to write more complex Python programs.
This course uses Python 3. While many Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This first course will use a Python 3 version of the CodeSkulptor development environment, which is specifically designed to help beginning programmers learn quickly. CodeSkulptor runs within any modern web browser and does not require you to install any software, allowing you to start writing and running small programs immediately. In the later courses in this specialization, we will help you to move to more sophisticated desktop development environments. This module will expose you to Python so that you can run your first simple programs. You will use Python to compute the results of arithmetic expressions, as you would when using a calculator. 9 videos4 readings1 assignment This module will teach you how to define and call functions. Functions allow you to write code once that you can execute repeatedly with different inputs. 6 videos2 readings1 assignment This module will teach you how to use logic and conditionals to change the behavior of the program based upon values within the program. 7 videos3 readings1 assignment This module will introduce you to the concept of modules. Python modules allow code to be divided up into different files and reused in different programs. Python provides many modules that you can use within your programs. 6 videos6 readings2 app items | 4 modules | Beginner level | null | https://www.coursera.org/learn/python-programming | 96% |
6,373 | Advanced Machine Learning on Google Cloud Specialization | 60,371 | 4.5 | 1,951 | Google Cloud Training | Google Cloud | ['Tensorflow', 'Convolutional Neural Network', 'Estimator', 'Advanced Machine Learning', 'Tensorflow', 'Convolutional Neural Network', 'Estimator', 'Advanced Machine Learning'] | This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order. Applied Learning Project This specialization incorporates hands-on labs using our Qwiklabs platform. These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at:https://qwiklabs.com/terms_of_serviceOpens in a new tab<<< Compare static versus dynamic training and inference Manage model dependencies Set up distributed training for fault tolerance, replication, and more Export models for portability Understand at a high-level the types of problems computer vision may solve Understand some of the key concepts and model architectures typically used using computer vision This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow. - Recognize the NLP products and the solutions on Google Cloud.
- Create an end-to-end NLP workflow by using AutoML with Vertex AI.
- Build different NLP models including DNN, RNN, LSTM, and GRU by using TensorFlow.
- Recognize advanced NLP models such as encoder-decoder, attention mechanism, transformers, and BERT.
- Understand transfer learning and apply pre-trained models to solve NLP problems.
Prerequisites: Basic SQL, familiarity with Python and TensorFlow Devise a content-based recommendation engine. Implement a collaborative filtering recommendation engine. Build a hybrid recommendation engine with user and content embeddings. Use reinforcement learning techniques for contextual bandits in the context of recommendations. | 4 course series | Advanced level | 2 months (at 10 hours a week) | https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp | null |
6,374 | Spatial Data Science and Applications | 27,892 | 4.4 | 514 | Joon Heo | Yonsei University | ['Spatial Analysis', 'Qgis', 'Big Data', 'Geographic Information System (GIS)'] | Spatial (map) is considered as a core infrastructure of modern IT world, which is substantiated by business transactions of major IT companies such as Apple, Google, Microsoft, Amazon, Intel, and Uber, and even motor companies such as Audi, BMW, and Mercedes. Consequently, they are bound to hire more and more spatial data scientists. Based on such business trend, this course is designed to present a firm understanding of spatial data science to the learners, who would have a basic knowledge of data science and data analysis, and eventually to make their expertise differentiated from other nominal data scientists and data analysts. Additionally, this course could make learners realize the value of spatial big data and the power of open source software's to deal with spatial data science problems. This course will start with defining spatial data science and answering why spatial is special from three different perspectives - business, technology, and data in the first week. In the second week, four disciplines related to spatial data science - GIS, DBMS, Data Analytics, and Big Data Systems, and the related open source software's - QGIS, PostgreSQL, PostGIS, R, and Hadoop tools are introduced together. During the third, fourth, and fifth weeks, you will learn the four disciplines one by one from the principle to applications. In the final week, five real world problems and the corresponding solutions are presented with step-by-step procedures in environment of open source software's. The first module of "Spatial Data Science and Applications" is entitled to "Understanding of Spatial Data Science." This module is composed of four lectures. The first lecture "Introduction to spatial data science" was designed to give learners a solid concept of spatial data science in comparison with science, data science, and spatial data science. For Learner's better understanding, examples of spatial data science problems are also presented. The second, third, and fourth lectures focuses on "what is spatial special? - unique aspects of spatial data science from three perspectives of business, technology, and data, respectively. In the second lecture, learners will learn five reasons why major IT companies are serious about spatial data, in other words, maps. The third lecture will allow learners to understand four issues of dealing with spatial data, including DBMS problems, topology, spatial indexing, and spatial big data problems. The fourth lecture will allow learners to understand another four issues of spatial data including spatial autocorrelation, map projection, uncertainty, and modifiable areal unit problem. 5 videos1 assignment2 discussion prompts The second module is entitled to "Solution Structures of Spatial Data Science Problems", which is composed of four lectures and will give learners an overview of academic subjects, software tools, and their combinations for the solution structures of spatial data science problems. The first lecture, "Four Disciplines for Spatial Data Science and Applications" will introduce four academic disciplines related to spatial data science, which are Geographic Information System (GIS), Database Management System (DBMS), Data Analytics, and Big Data Systems. The second lecture "Open Source Software's" will introduce open source software's in the four related disciplines, QGIS for GIS, PostgreSQL and PostGIS for DBMS, R for Data Analytics, Hadoop and Hadoop-based solutions for Big Data System, which will be used throughout this course. The third lecture "Spatial Data Science Problems" will present six solution structures, which are different combinations of GIS, DBMS, Data Analytics, and Big Data Systems. The solution structures are related to the characteristics of given problems, which are the data size, the number of users, level of analysis, and main focus of problems. The fourth lecture "Spatial Data vs. Spatial Big Data" will make learner have a solid understanding of spatial data and spatial big data in terms of similarity and differences. Additionally, the value of spatial big data will be discussed. 4 videos2 readings1 assignment The third module is "Geographic Information System (GIS)", which is one of the four disciplines for spatial data science. GIS has five layers, which are spatial reference framework, spatial data model, spatial data acquisition systems, spatial data analysis, and geo-visualization. This module is composed of six lecture. The first lecture "Five Layers of GIS" is an introduction to the third module. The rest of the lectures will cover the five layers of GIS, one by one. The second lecture "Spatial Reference Framework" will make learners understand, first, a series of formulation steps of physical earth, geoid, ellipsoid, datum, and map projections, second, coordinate transformation between different map projections. The third lecture "Spatial Data Models" will teach learners how to represent spatial reality in two spatial data models - vector model and raster model. The fourth lecture "Spatial Data Acquisition Systems" will cover topics on how and where to acquire spatial data and how to produce your own spatial data. The fifth lecture "Spatial Data Analysis", will make learners to have brief taste of how to extract useful and valuable information from spatial data. More advanced algorithms for spatial analysis will be covered in the fifth module. In the sixth lecture "Geovisualization and Information Delivery", learners will understand powerful aspects as well as negative potentials of cartographic representations as a communication media of spatial phenomenon. 6 videos2 readings1 assignment1 discussion prompt The fourth module is entitled to "Spatial DBMS and Big Data Systems", which covers two disciplines related to spatial data science, and will make learners understand how to use DBMS and Big Data Systems to manage spatial data and spatial big data. This module is composed of six lectures. The first two lectures will cover DBMS and Spatial DBMS, and the rest of the lectures will cover Big Data Systems. The first lecture "Database Management System (DBMS)" will introduce powerful functionalities of DBMS and related features, and limitations of conventional Relational DBMS for spatial data. The second lecture "Spatial DBMS" focuses on the difference of spatial DBMS from conventional DBMS, and new features to manage spatial data. The third lecture will give learners a brief overview of Big Data Systems and the current paradigm - MapReduce. The fourth lecture will cover Hadoop MapReduce, Hadoop Distributed File System (HDFS), Hadoop YARN, as an implementation of MapReduce paradigm, and also will present the first example of spatial big data processing using Hadoop MapReduce. The fifth lecture will introduce Hadoop ecosystem and show how to utilize Hadoop tools such as Hive, Pig, Sqoop, and HBase for spatial big data processing. The last lecture "Spatial Big Data System" will introduce two Hadoop tools for spatial big data - Spatial Hadoop and GIS Tools for Hadoop, and review their pros and cons for spatial big data management and processing. 6 videos1 reading1 assignment The fifth module is entitled to "Spatial Data Analytics", which is one of the four disciplines related to spatial data science. Spatial Data Analytics could cover a wide spectrum of spatial analysis methods, however, in this module, only some portion of spatial data analysis methods will be covered. The first lecture is an introduction, in which an overview of Spatial Data Analytics and a list of six topics are given and discussed. The second lecture "Proximity and Accessibility" will make learners realize how spatial data science can be used for business applications, while trade area analysis, supply to demand ratio, Floating Catchment Analysis (FCA), and Gravity-based index of accessibility are introduced and applied to real world problems. The third lecture "Spatial Autocorrelation" will give an instruction on how to measure spatial autocorrelation and to apply hypothesis test with Moran's I. The fourth lecture "Spatial Interpolation" will introduce trend surface analysis, inverse distance weighting, and Kriging. Particularly, in-depth explanations regarding Kriging, a de facto standard of spatial interpolation will be presented. The fifth lecture "Spatial Categorization" will make learners understand classification algorithms such as Minimum Distance to Mean (MDM) and Decision Tree (DT), clustering algorithms such as K-Means and DBSCAN with real-world examples. The sixth lecture "Hotspot Analysis" will introduce hotspot analysis and Getis-Ord GI* as the most popular method. The seventh lecture "Network Analysis" will make learners explore the algorithms of geocoding, map matching, and shortest path finding, of which importance is increasing in spatial big data analysis. 7 videos2 readings1 assignment The sixth module is entitled to "Practical Applications of Spatial Data Science", in which five real-world problems are introduced and corresponding solutions are presented with step-by-step procedures in the solution structures and related open source software's, discussed in Module 2. The first lecture presents an example of Desktop GIS, in which only QGIS is used, to find the top 5 counties for timberland investment in the southeastern states of the U.S, in which simple differencing of demand and supply is applied to figure out counties of large deficit of timber supply in comparison with timber demand. In the second lecture, an example of sever GIS, in which QGIS and PostgreSQL/PostGIS are used, will be presented as a solution for a given problem of NYC spatial data center, which required multiple user access and different levels of privileges. The third lecture presents an example of spatial data analytics, in which QGIS and R are used, to find out any regional factors which contribute to higher or lower disease prevalence in administrative districts, for which spatial autocorrelation analysis is conducted and decision tree analysis is applied. The fourth lecture is another example of spatial data analytics, to find optimal infiltration routing with network analysis, in which cost surface is produced and Dijkstra's algorithm is used. The fifth lecture is an example of spatial big data management and analytics, in which QGIS, PostGIS, R, and Hadoop MapReduce are all used, to provide a solution of "Passenger Finder", which can guide to the places where more passengers are waiting for taxi cabs. For the solution, spatial big data, taxi trajectory, are collected, and noise removal and map matching are conducted in Hadoop environment. Then, a series of spatial data processing and analysis such as spatial join in PostGIS, hotspot analysis in R are conducted in order to provide the solution. All in all, learners will realize the value of spatial big data and power of the solution structure with combination of four disciplines. 5 videos1 reading1 assignment1 discussion prompt | 6 modules | Intermediate level | null | https://www.coursera.org/learn/spatial-data-science | 97% |
6,375 | Power System Stability | Enrollment number not found | Rating not found | null | Subject Matter Expert | L&T EduTech | ['Fact', 'FACTS', 'Rotor Angle Stability Analysis', 'Voltage Stability Analysis', 'Power System Stabilizer', 'Simulations'] | This course is designed to provide a comprehensive analysis of rotor angle and voltage stability and methods of stability enhancement. Objectives
By the end of this course, you will be able to:
• Declare the importance of power system stability and classify various types of stability based on the nature of disturbance and parameter to be accessed. (BL3)
• State the basic assumptions in stability studies and deduce the generator modelling for stability analysis. (BL3)
• Derive the swing equation and power angle equation and illustrate their significance in transient stability assessment and demonstrate using ETAP simulation. (BL3)
• Develop a comprehensive understanding of Equal Area Criterion principle for transient stability analysis of a SMIB system with applications for determination of critical clearing angle and critical clearing time by solving simple numerical problems. (BL4)
• Elucidate the concept of voltage stability and the determination of voltage stability index based on PV/QV characteristics. (BL3)
• Illustrate the short-term and long-term voltage stability analysis with real time case studies and analyze the effects of voltage collapse and instability. (BL3)
• Discover the principle and characteristics of FACTS controllers suitable for transient stability enhancement and power system stabilizer for small signal stability enhancement. (BL4)
This course provides a specialized focus on modeling of power system components for stability studies and differential algebraic equations governing the dynamic behavior of the machines. The course details the analysis of rotor angle stability and voltage stability through traditional techniques supported with real time case studies. The course touches upon the principle of Equal Area Criterion, which is a simple approach for transient stability assessment of a SMIB system and hence determines the critical clearing angle and critical clearing time. The course also explores in detail the various methods of stability enhancement such as FACTS controller and Power System Stabilizer. The course stands out for its hands-on ETAP demonstrations, which is an industrial software used in power grid sectors, providing learners with practical skills in the field of power system stability analysis.
To be successful in this course, you should have a background in basic electrical engineering principles, including knowledge of circuit analysis, electromagnetism, transmission and distribution of electrical power, per unit computation, load flow analysis and modeling of power system components. Familiarity of any simulation packages such as MATLAB, POWER WORLD will be highly beneficial to understand and practice hands-on exercises.
By enrolling in this course, participants will not only gain theoretical knowledge but also practical skills that are directly applicable in the field of power system analysis and design. Whether you're a student aspiring to enter the industry or a professional seeking to deepen your expertise, this course offers a unique blend of theoretical insights and hands-on applications, equipping you with the tools to excel in this dynamic field. Let’s begin this course by understanding the concept and need of power system stability followed by a detailed classification of power system stability and derivation of swing equation and power angle equation with its importance in transient or rotor angle stability assessment. 16 videos2 readings1 assignment1 discussion prompt This module imparts knowledge on how Equal Area Crietrion (EAC) method can be used for the transient stability assessment of a SMIB System considering various forms of disturbances as case studies supported with solution of numerical examples 10 videos1 assignment1 discussion prompt This module aims to explore the basic concepts, types, and characteristics related to voltage stability and illustrate the short-term and long-term voltage stability analysis with suitable case studies. 13 videos1 assignment1 discussion prompt This module starts with the introduction to reactive power compensation devices, principle and working of various types of FACTS controllers and its applications and also has explored the use of Power System Stabilizer. 11 videos1 assignment1 discussion prompt | 4 modules | Intermediate level | 10 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/power-system-stability | null |
6,376 | Introduction to Embedded Systems Software and Development Environments | 123,728 | 4.5 | 615 | Alex Fosdick | University of Colorado Boulder | ['Makefile', 'C Programming', 'Embedded C'] | Welcome to the Introduction to Embedded Systems Software and Development Environments. This course is focused on giving you real world coding experience and hands on project work with ARM based Microcontrollers. You will learn how to implement software configuration management and develop embedded software applications. Course assignments include creating a build system using the GNU Toolchain GCC, using Git version control, and developing software in Linux on a Virtual Machine. The course concludes with a project where you will create your own build system and firmware that can manipulate memory. The second course in this 2 course series , Embedded Software and Hardware Architecture, will use hardware tools to program and debug microcontrollers with bare-metal firmware. Using a Texas Instruments MSP432 Development Kit, you will configure a variety of peripherals, write numerous programs, and see your work execute on your own embedded platform! Module 1 will introduce the learner to the components of your embedded system software development process. This module will be a quick overview for many topics with detailed analysis to follow in later modules and courses. We start with defining the hardware and software building blocks of Embedded Systems which will include a C-programming refresher. Next you will learn about the important tools a developer will need to use to help design, build and manage their designs. This includes development environments, version control and the hardware kits to install on. Learners will install and use a Virtual machine to complete Week 1 Application Assignment. 10 videos1 assignment1 peer review Module 2 will introduce the learner to the software development build system. Most software engineers are very knowledgeable about their build system as we need them to translate our high-level software languages to our architecture specific implementations. There are some important platform and architecture concepts that are introduced in the build system to help enforce good software design techniques. Learners will create their own build systems and utilize build tools to analyze their embedded software implementations. 9 videos1 assignment1 peer review Module 3 will begin to introduce important embedded concepts like the memory systems in their design. Learners will understand how the software to hardware mapping occurs for their designs including differentiating between your program code and your program data. Memory systems have many platform and architecture dependencies, and you will begin to learn about some of the fundamental concepts a software engineer needs to know to utilize all parts of an embedded system’s memory. 8 videos2 readings2 assignments During this week you are to going to combine what you have learned in modules 1-3 to write some memory manipulation software, incorporate into your build system and then run some test functions. At the end of the assignment you will perform a detailed code review of other learners’ software. Reviewing other learners code is very important for both your growth of software design but also for the coder to gain valuable feedback. Professional software engineering regularly go through software reviews when developing code. 1 peer review | 4 modules | Intermediate level | null | https://www.coursera.org/learn/introduction-embedded-systems | 93% |
6,377 | Introduction to Semiconductor Process 1 | 1,599 | 4.5 | 21 | Keon Jae Lee | Korea Advanced Institute of Science and Technology(KAIST) | ['Ion Implantation', 'CMOS Process', 'MOSFET', 'semiconductior', 'Diffusion & Doping', 'Oxidation'] | This course aims to provide a general understanding of semiconductor process. This course explores the principles and basic theory of semiconductor device and process. Furthermore, the students will learn the overall semiconductor process such as oxidation, diffusion, ion implantation, lithography, etching, thin film deposition, plasma, metallization, and packaging. The lecture notes can be downloaded with registration, that helps students watch the videos. There are quiz problems to check your understanding of the lectures. To receive course certificate., you must score at least 60% of quiz within two chances.
Lecture notes, quiz and certificate are offered to registered students only.
Introduction to Semiconductor Process 2
Week 1 Wet & Dry Etch (1)
Week 2 Wet & Dry Etch (2)
Week 3 Thin Film Deposition (1)
Week 4 Thin Film Deposition (2)
Week 5 Metallization Chemical Mechanical Polishing Strain Engineering
Week 6 Electronic Packaging (1)
Week 7 Electronic Packaging (2)
Week 8 3D Transistor Process 3 videos2 readings1 assignment 1 video1 reading1 assignment 1 video1 reading1 assignment 2 videos1 reading1 assignment 1 video1 reading1 assignment 2 videos1 reading1 assignment 3 videos1 reading1 assignment 1 video1 assignment | 8 modules | Intermediate level | 4 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/semiconductor-process-1 | null |
6,378 | Enhance your Writing with Noun Clauses | 2,592 | 4.8 | 10 | Meg Parker | University of California, Irvine | [] | This course is designed to hold your hand step-by-step through the most basic concepts of noun clauses all the way to the end goal of writing a paragraph with varied noun clauses. With each individual lesson, you’ll watch both introductory and guided practice videos which will give you tips on writing noun clauses, you’ll complete independent practice exercises and check your answers, and you’ll do short quizzes. For several assignments throughout the course, you’ll practice writing noun clauses, first as individual sentences and then within a paragraph. By the end of this course, you’ll be able to see exactly how much your writing has improved when you compare Week 1’s with Week 4’s writing. No matter how you use English in your daily life, this course will inspire you to use noun clauses more in your writing and speaking. Let’s launch into the exciting world of noun clauses! This week, you’ll start by writing an opinion paragraph, which you’ll compare with a final paragraph at the end of the course. This earlier paragraph purely serves as a point of comparison, so it doesn’t need to be perfect. After writing, you’ll learn to differentiate among noun phrases, noun clauses, and other clauses, and we’ll focus on analyzing the roles of noun clauses within a sentence as a whole. By the end of this week, you’ll understand the noun clause basics, a necessary first step for exploring the many types of noun clauses we’ll learn in Week 2. Let’s get started! 5 videos2 readings1 assignment1 discussion prompt You now have a solid understanding of how noun clauses work, so let’s build on that! This week, we’ll focus on writing noun clauses starting with question words and with "whether," "if," and "that." For each of these, you’ll watch an introductory and guided practice videos that give you tips on the independent practice exercises. After that, you’ll practice, check your answers, and take a short quiz. Finally, you’ll show what you’ve learned by writing your own sentences with this week’s noun clauses. By the end of the week, you’ll feel much more confident writing a variety of noun clauses. Ready? Let’s do it! 6 videos4 readings3 assignments1 discussion prompt Let’s take your noun clauses up a notch! This week, we’ll examine one last type of noun clauses with words such as "whenever," "wherever," or "whoever." Then, you’ll learn how to avoid learners’ common mistakes. After each lesson, you’ll practice and take a quiz to check your understanding. Finally, we’ll transition to the topic of writing with a lesson on the ways noun clauses are used when writing about opinions, and you’ll read a sample opinion piece. By the end of the week, you’ll have the tools to tackle Week 4’s challenge: writing your own opinion paragraph. 5 videos3 readings2 assignments1 discussion prompt Now is your time to show off what you’ve learned about noun clauses and opinion writing. First, I’ll give you some pointers on writing a fantastic opinion paragraph with a variety of noun clauses. After you write, you’ll compare this week’s and Week 1’s paragraphs, and in a discussion post, you’ll reflect on how your writing has improved throughout the course. Finally, you’ll submit your paragraph, and you’ll evaluate another learner’’s paragraph for its use of noun clauses. By the end of this week, you’ll clearly see that your hard work with noun clauses has really paid off! 1 video1 reading1 peer review1 discussion prompt | 4 modules | Intermediate level | 11 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/english-writing-grammar-noun-clauses | null |
6,379 | Kubernetes Integration and Advanced Orchestration Techniques | Enrollment number not found | Rating not found | null | Graham Jones | LearnQuest | ['Implement CI/CD pipelines', 'Design and implement custom controllers', 'Helm management in Kubernetes', 'Advanced Kubernetes cluster management', 'Create and manage Helm Charts'] | The culminating course in this specialization dives into the integration of Kubernetes with Continuous Integration and Continuous Deployment (CI/CD) pipelines, providing learners with a comprehensive understanding of the intricate relationship between container orchestration and streamlined software delivery processes. Throughout this course, learners explore advanced orchestration techniques, including essential topics such as Helm, Kubernetes Operators, custom controllers, and GitOps workflows. By the end of the course, students will not only have gained proficiency in these advanced Kubernetes concepts but will also possess the practical skills necessary to seamlessly incorporate them into their development workflows. Armed with this expertise, they will be well-equipped to efficiently manage Kubernetes clusters while optimizing the entire software development lifecycle using advanced orchestration techniques, thereby positioning themselves as valuable assets in the ever-evolving world of containerized application deployment. After completing this course, you should be able to:
- Describe the importance of Continuous Integration and Continuous Deployment (CI/CD) in Kubernetes environments
- Explain the role of Kubernetes in CI/CD pipelines
- Design and implement CI/CD pipelines for Kubernetes applications
- Evaluate the effectiveness of CI/CD pipelines in streamlining development workflows
- Explain the importance and benefits of Helm in Kubernetes package management
- Identify the components and architecture of Helm
- Create and manage Helm charts for Kubernetes applications
- Analyze and optimize the deployment of applications using Helm
- Explore the role and benefits of Kubernetes Operators and custom controllers
- Design and implement custom controllers and Operators for Kubernetes applications
- Explain the GitOps workflow and its benefits in Kubernetes environments
- Integrate GitOps workflows in Kubernetes cluster management Welcome to the first module of the final course in our three-part Advanced Kubernetes series!
In this module, we will describe Continuous Integration and Continuous Deployment (CI/CD) in Kubernetes, investigating its seamless integration with Kubernetes clusters, and how this dynamic duo of Kubernetes and CI/CD automates, streamlines, and elevates the efficiency, consistency, and reliability of your software delivery process. 8 videos5 readings4 assignments1 discussion prompt2 plugins In this second module of our Advanced Kubernetes course, we will dive deeper into Helm, the powerful Kubernetes package manager. It has three main parts: Helm CLI, which is like a control center; Helm Charts, which are like app packages; and Helm Repositories, where you find and share these charts. Together, they simplify app deployment and management in Kubernetes. 8 videos2 readings4 assignments1 discussion prompt1 plugin Welcome to the final module of our Advanced Kubernetes course!
In this module, we'll explore Kubernetes Operators and Custom Controllers. Operators automate tasks like scaling databases, while Custom Controllers provide broader customization and policy enforcement. We'll also cover the Kubernetes Operator Framework and the Operator SDK to empower you to build custom Operators effectively.
Get ready to master automation and custom resource management in Kubernetes! 6 videos3 readings4 assignments1 discussion prompt2 plugins | 3 modules | Advanced level | 11 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/advanced-kubernetes-third-course-3 | null |
6,380 | Leadership in Interprofessional Informatics | 3,180 | 4.5 | 20 | Karen A. Monsen, PhD, RN, FAMIA, FNAP, FAAN | University of Minnesota | ['Leadership Dynamics', 'Professional Development'] | In this course, students in the health and information technology professions will examine models for interprofessional collaboration and teamwork, practice communication techniques to promote effective interaction, and envision futures literacy in interprofessional informatics scenarios. We will hear from nurses and other informaticians who are leading and working interprofessionally, and glean insights from their diverse perspectives. When we think about the requisite variety of leadership skills that are essential in nursing informatics, we may deduce that leadership in interprofessional informatics will demand at least that diversity or more. We’ll expand our nursing informatics leadership vision to include interprofessional applications of the Competing Values Framework and the Minnesota Nursing Informatics Leadership Inventory. For students who are interested in completing the specialization, there is a sixth module in this course dedicated to the creation of a portfolio which is peer reviewed. The purpose of the portfolio is to help students integrate, synthesize and document their learning through completion of the five course specialization.
Students will:
Define the term interprofessionality to support the development of an interprofessional informatics leadership skill set
Describe how the competing values framework supports knowledge leadership and interprofessional informatics practice to achieve collective impact in health care contexts
Explain the core competencies expected to support culturally-sensitive interprofessional practice to deepen leadership insights in interprofessional informatics
Discuss selected policy, practice, and standardization issues related to knowledge representation and framing to support interprofessional informatics practice
Analyze the future of interprofessional informatics leadership to develop an anticipatory leadership skill set Nursing informatics leaders need both content expertise in current nursing informatics topics and diverse leadership skills that can be applied as needed in different situations. We also need awareness of our own nursing informatics culture and perspective, so that we can be aware and sensitive to similarities and differences across the health and technology professions with whom we join as we tackle interprofessional informatics projects and leadership. 2 videos7 readings1 assignment1 plugin Whether you are leading an interprofessional informatics team, or co-leading an organization with other interprofessional leaders, or co-leading a team with other team members, the same team fundamentals apply. Many scholars have studied team interactions and the wisdom of teamwork is required across all types of teams in diverse settings. In this module, we examine team structures and the fundamental elements and behaviors that ensure success. 1 video7 readings1 assignment1 discussion prompt1 plugin In this module, we consider team evolution and dynamics, building on the foundational concepts we discussed in Module 2. As teams Establish trust and Create an environment of Psychological Safety, team members can overcome the challenges of cultural differences and expectations, and begin to align with a new identity – that of the team. 1 video4 readings1 assignment1 discussion prompt2 plugins 1 video6 readings1 assignment1 plugin 1 video8 readings1 assignment1 plugin In this final module, you have an opportunity to review and reflect the learning in this specialization. Three activities will support your development of a Nursing Informatics Leadership Portfolio: Compile Materials, Write a Reflection Paper and receive Peer Review Feedback and finally you have an option to write a letter from your Future Self. 1 video1 reading2 peer reviews | 6 modules | Intermediate level | 27 hours to complete (3 weeks at 9 hours a week) | https://www.coursera.org/learn/leadership-interprofessional-informatics | null |
6,381 | Extinctions: Past, Present, & Future | 10,052 | 4.8 | 132 | Anthony J. Martin | Emory University | [] | This course introduces you to the five mass extinctions of the pre-human past, their causes and significance to the history of life on earth, and the current mass extinction happening during our time. We’ll also explore the history of paleontology and geological study and review the key players that influenced the science today. Regardless of your familiarity with the topic, you'll get portable handouts, lively demonstrations, and quizzes that bridge and enhance your knowledge. 6 videos4 readings2 assignments 5 videos2 readings2 assignments 7 videos4 readings2 assignments 7 videos2 readings2 assignments 8 videos3 readings1 assignment1 peer review | 5 modules | Beginner level | null | https://www.coursera.org/learn/extinctions-past-present-and-future | 99% |
6,382 | Fundamentals of Immunology: Innate Immunity and B-Cell Function | 71,672 | 4.7 | 1,767 | Alma Moon Novotny, Ph.D. | Rice University | [] | Course 1 of a four course specialization called Fundamentals of Immunology: Innate Immunity and B-cell Function. Each course in the specialization presents material that builds on the previous course's material. This is the first leg of a four-part journey through the defenses your body uses to keep you healthy. In this part, we hope to give you the vocabulary and concepts you need to interact with the medical community and provide them with a context that makes them memorable.
Fundamentals of Immunology: Innate Immunity and B-cell Function introduces students to the basic functions of the adaptive and innate immune systems. The early lectures survey cells, tissues, and organs using metaphors, cartoons, and models to improve understanding and retention. After describing the form, function, origin, and varieties of antibodies, subsequent lectures provide details on the mechanism of the generation of variation. The course provides animations of gene rearrangement and class switching and descriptions of affinity maturation correlated with detailed physical models of antibody structure. The final lecture reviews these concepts in an anatomical context. Testing employs multiple choice questions testing facts, concepts, and application of principles. Questions may refer to diagrams, drawings, and photographs used in the lecture and reproduced in the outline.
What You’ll Learn:
The difference between adaptive and innate immune systems, the characteristics of various pathogens that they protect you from, and the overall strategies employed in this protection. The detailed structure of antibodies and related immunoglobulin receptors, the characteristics and function of the different antibody classes, and the mechanism for producing both the recognition regions and stem regions. Finally, how these structures are coded for in the DNA and expressed in the B cells. 8 videos3 readings8 assignments 9 videos11 assignments 5 videos6 assignments 9 videos11 assignments 12 videos14 assignments 8 videos10 assignments 1 video1 reading2 assignments | 7 modules | Intermediate level | null | https://www.coursera.org/learn/immunologyfundamentalsimmunitybcells | 96% |
6,383 | Python Functions, Files, and Dictionaries | 129,814 | 4.8 | 5,302 | Paul Resnick | University of Michigan | ['Data Structure', 'Python Programming', 'Data Evaluation', 'Code Debugging'] | This course introduces the dictionary data structure and user-defined functions. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input. For your final project, you’ll read in simulated social media data from a file, compute sentiment scores, and write out .csv files. It covers chapters 10-16 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course. The course is well-suited for you if you have already taken the "Python Basics" course and want to gain further fundamental knowledge of the Python language. Together, both courses are geared towards newcomers to Python programming, those who need a refresher on Python basics, or those who may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs.
This is a follow-up to the "Python Basics" course (course 1 of the Python 3 Programming Specialization), and it is the second of five courses in the specialization. In week one the video lectures and the Runestone textbook will introduce you to the idea of incorporating files into your programs as an additional source of data. You will learn how to read from a file, write to a file, and how to work with the .csv data format. 20 videos3 readings1 programming assignment13 app items3 ungraded labs In week two the video lectures and the Runestone textbook will focus on a new data type, dictionaries. You will be introduced to the mechanics of dictionaries and then get practice using them in accumulation patterns, both to build a dictionary using the pattern as well as find the best, or worst, result using the pattern. 15 videos2 programming assignments10 app items1 ungraded lab In week three you will be introduced to the construction of functions. Up to this point, you have used functions in the programs before, but have not had a chance to write your own functions, including how to define a function, how to incorporate parameters, how to return data from a function, the local or global scope of variables, and potential side effects that could occur from function execution. Finally, we look at tuples more in depth, and how automatic packing and unpacking of tuples can be used in functions and in for loops. 19 videos2 programming assignments21 app items2 ungraded labs In week four the video lectures and the Runestone textbook will outline a more advanced iteration mechanism, the while loop. You will be introduced to using it when getting feedback from users, as well as applying it to the turtle module to draw images. Additionally, you will also be exposed to more advanced function concepts such as the idea of parameters being optional, not required, and anonymous functions using lambda. 14 videos2 programming assignments13 app items3 ungraded labs In week five the videos and Runestone textbook will detail how to sort python objects - both the basics and more advanced forms of sorting for dictionaries and how to break a tie (if that occurs). The final course assessment will be a project that asks you to read fake, auto-generated data from a social media site to analyze social media post sentiments. You will submit a csv file as well as images of graphs that demonstrate your findings. 16 videos3 readings2 programming assignments1 peer review7 app items1 ungraded lab | 5 modules | Beginner level | null | https://www.coursera.org/learn/python-functions-files-dictionaries | 97% |
6,384 | Introduction to Operating Systems Specialization | 16,701 | 4.6 | 178 | Patrick Ester | Codio | ['C Programming', 'Concurrency', 'Operating Systems', 'virtualization', 'C Dynamic Memory Allocation', 'C Programming', 'Concurrency', 'Operating Systems', 'virtualization', 'C Dynamic Memory Allocation'] | This specialization is intended for people with some programming experience who seek an approachable introduction to how operating systems work on a fundamental level. This course will equip learners with foundational knowledge of operating systems suitable for any developer roles. In these four courses, you will cover everything from the basics of a C program to distributed systems. These topics will help prepare you to optimize the performance of the programs you write. Applied Learning Project This specialization covers introductory level operating system ideas, techniques, and implementations. The specialization is divided into four parts: (1) Virtualization; and (2) Memory Management. (3) Concurrency, (4) Persistence. Examples of practical applications include implementing a command line interpreter, and multi-threaded operating system tools. Foundational principles of virtualization within operating systems, particularly with respect to processes and memory management. Expertise in the C language and its significance in operating system design and functionality. Foundational techniques and nuances of memory management within operating systems, including segmentation and paging. Practical strategies for implementing and optimizing virtual memory and swapping in diverse computing environments. Advanced techniques in managing and optimizing concurrency within operating systems. The practical application and understanding of threads, locks, and multi-CPU scheduling. The foundational architecture and principles behind operating systems, ensuring optimized performance. Techniques to maintain data integrity and protection within diverse operating environments. | 4 course series | Beginner level | 4 months (at 15 hours a week) | https://www.coursera.org/specializations/codio-introduction-operating-systems | null |
6,385 | Introduction to Data Networks and the Internet - Bachelor's | Enrollment number not found | Rating not found | null | Philip Matuszak | Illinois Tech | ['Protocol Implementation', 'Network Monitoring and Security', 'Network Communication'] | This course covers current and evolving data network technologies, protocols, network components, and the networks that use them, focusing on communication to and from the Internet and Local area networks. Course content includes Internet architecture, organization, and protocols including Ethernet, 802.11, routing, switching, OSI and TCP models, DNS, SNMP, DHCP, and more. Students will be presented with Internet-specific networking tools for searching, testing, debugging, and configuring networks and network-connected host computers. At the graduate level, students will be given real world examples, with best practice and business use cases as related to the content on hand, as well as threats and mitigation steps. Upon successful completion of this course, you will be able to:
- Introduce communication fundamentals as they relate to popular communication models such as the TCP and OSI models.
- Provide an understanding of the distributed nature of the internet.
- Discuss the requirements for communication between local area networks and internet.
- Identify and define protocols needed for LAN and WAN communication.
- Learn the basics of analyzing, inspecting, and monitoring network traffic.
- Become aware of threats to networks and networked devices.
- Utilize tools for doing basic network reconnaissance. Welcome to Introduction to Data Networks and the Internet! In this course, we will cover the topics of: Introduction to Network Concepts; OSI, TCP, and Network Addressing; Network Installation and Configuration; Network Management; Network Security Concepts; Network Analysis; Network Troubleshooting; Software Defined Networks and the Cloud. In the ever-evolving landscape of technology, computer networks have become the backbone of modern communication and information exchange. Understanding the fundamentals of networking is essential for anyone seeking to navigate the digital world effectively. In this introduction, we will explore their interplay in creating robust, efficient, and reliable networks that underpin our interconnected world. 5 videos5 readings3 assignments1 discussion prompt In the vast realm of computer networking, understanding the fundamental principles and models is paramount for anyone delving into the world of data transmission and communication. In this module, we will embark on a journey to unravel the intricacies of networking through the lens of two crucial models: the OSI (Open Systems Interconnection) model and the TCP (Transmission Control Protocol) model. These models serve as the backbone for comprehending the architecture and functioning of modern computer networks. Additionally, this module is designed to equip you with a foundational understanding of networking models, switching, and routing. These concepts are indispensable for anyone aspiring to navigate the intricate world of computer networks and contribute to the seamless flow of data in our interconnected digital age. 4 videos2 readings2 assignments The establishment and maintenance of robust and efficient networks are fundamental to the success of organizations and businesses. To embark on this journey, it is essential to first understand the foundational aspects of network installation and configuration. This introduction serves as a gateway to explore the objectives outlined in module 3, which encompass the essential elements of network setup and management. Whether you are a seasoned IT professional or a newcomer to the world of networking, this module will serve as a valuable resource to enhance your skills and knowledge in this dynamic field. 5 videos3 readings2 assignments In this module, we will embark on a journey to explore fundamental concepts and practices that are integral to effective network management. It will provide you with an overview of the key concepts and principles that form the foundation of network management, setting the stage for your journey into this dynamic field. 3 videos2 readings2 assignments Throughout this module, we will equip you with the knowledge and insights necessary to build a solid foundation in network security. By the end, you will be better prepared to navigate the complex world of networked systems security and protect the digital assets entrusted to you. 4 videos2 readings2 assignments The importance of effectively monitoring network traffic cannot be overstated. It serves as the foundation for robust cybersecurity practices, network performance optimization, and troubleshooting. By the end of this module, you will have gained valuable insights into the 'what' and 'why' of network traffic monitoring, as well as a practical understanding of how to capture and log network traffic effectively, utilizing a diverse range of tools and formats. These insights will be instrumental in ensuring the security and efficiency of your network infrastructure. 3 videos2 readings2 assignments In today's interconnected world, computer networks serve as the backbone of modern communication and information exchange. Whether in the context of a home network or a vast corporate infrastructure, maintaining the functionality and reliability of these networks is of paramount importance. However, as with any complex system, network issues can arise, disrupting connectivity and productivity. To effectively address these challenges, network professionals must possess a fundamental understanding of troubleshooting methodologies, diagnostic tools, and common causes of network-related issues. This module serves as a gateway to explore these essential aspects of network troubleshooting and problem-solving. 3 videos2 readings2 assignments The realm of networking has witnessed a transformative revolution. As organizations seek more agile, flexible, and scalable networking solutions to meet their ever-growing demands, concepts such as Software-Defined Networking (SDN), the integration of networking in cloud-based solutions, and the emergence of virtual networking devices have come to the forefront. In this module, we will gain a deeper understanding of the dynamic and ever-evolving landscape of networking, offering insights into how these concepts are shaping the future of connectivity and information exchange in our increasingly interconnected world. So, let's explore where the virtual meets the physical, and traditional networking gives way to the innovation and flexibility of the digital age. 3 videos2 readings1 assignment 1 assignment | 9 modules | Beginner level | 62 hours to complete (3 weeks at 20 hours a week) | https://www.coursera.org/learn/illinois-tech-introduction-to-data-networks-and-the-internet-bit | null |
6,386 | Living with Dementia: Impact on Individuals, Caregivers, Communities and Societies | 20,756 | 4.8 | 297 | Nancy Hodgson, PhD, RN, FAAN | Johns Hopkins University | [] | Health professionals and students, family caregivers, friends of and affected individuals, and others interested in learning about dementia and quality care will benefit from completing the course. Led by Drs. Nancy Hodgson and Laura Gitlin, participants will acquire foundational knowledge in the care of persons with Alzheimer’s Disease and other neurocognitive disorders. In this module, we introduce learners to dementia. We present a socio-ecological framework for understanding the live experience of dementia and by which this course is organized. We discuss the global impact, pathophysiology, and stages of dementia. 6 videos11 readings2 assignments1 peer review In this module, we focus on the impact of dementia for individuals. You will learn about common unmet needs of persons with dementia as well as the impact of core clinical features such as behavioral and psychological symptoms. Also, you will learn ways to support quality of life of a person with dementia. 7 videos10 readings1 discussion prompt In this module, we expand our lens to consider family caregivers’ needs. You will learn the psychosocial impact of caring for a person with dementia and the role of stress. We provide examples of how to reduce stress, use the physical environment to support care tasks and well-being, and examine the potential role of technologies to improve dementia care. 7 videos12 readings2 assignments ln this module, we examine the community level. We discuss how the interprofessional team plays a key role in providing comprehensive dementia care. Also, we examine the concept of dementia-friendly communities and provide some examples from around the world. 4 videos5 readings2 assignments1 discussion prompt In this module, we provide an overview of national plans and policies. We identify elements of key plans and review the impact of such plans from a global perspective. You will also have the opportunity to develop an action plan that addresses an unmet need that you identify either in your home, community, or place of work. 4 videos2 assignments1 discussion prompt | 5 modules | Beginner level | null | https://www.coursera.org/learn/dementia-care | 95% |
6,387 | AWS Services | Enrollment number not found | Rating not found | null | LearnKartS | LearnKartS | ['aws networking', 'AWS Security Principles', 'AWS Database Services', 'AWS Networking', 'AWS Storage Services'] | Welcome to the AWS Services course! The course is designed to equip you with a comprehensive understanding of Amazon Web Services (AWS) and its extensive range of services. The course is aligned with the AWS Cloud Practitioner Certification exam structure and will help you prepare for the certification exam.
This course requires a basic understanding of cloud computing and AWS concepts.
By the end of this course, you will be able to:
- Understand and utilize AWS storage services, particularly Amazon S3 and S3 policies.
- Understand AWS database services, particularly focusing on Relational Database Services (RDS).
- Utilize Virtual Private Clouds (VPC) and subnets.
- Configure AWS RDS instances and manage DynamoDB.
- Understand AWS security and compliance principles.
- Apply AWS access control and IAM principles.
- Understand AWS security services like Web Application Firewall and AWS Shield.
- Compare AWS CloudTrail and CloudWatch, AWS Config vs CloudTrail.
- Utilize AWS services like AWS Inspector and AWS Trusted Advisor.
This course combines engaging videos, demos, assignment, and readings to provide you with a comprehensive learning experience. This module introduces AWS storage and database services, including Amazon S3, RDS, and DynamoDB. By the end of this, learners will be able to create and manage S3 buckets, configure policies, utilize relational databases, work with DynamoDB, and understand VPC and subnet usage. 15 videos2 readings5 assignments1 discussion prompt This module introduces AWS security principles and services, covering topics such as access control, compliance, and various AWS security tools. By the end of this, learners will be able to implement security best practices, manage IAM services, and utilize AWS security services. 17 videos1 reading6 assignments1 discussion prompt | 2 modules | Intermediate level | 5 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/aws-cloud-practitioner-certification-aws-services | null |
6,388 | Six Sigma Principles | 183,630 | 4.7 | 7,894 | David Cook, PhD | Kennesaw State University | ['Lean Six Sigma', 'Process Improvement', 'Six Sigma', 'Lean Methods'] | This course is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will introduce you to the purpose of Six Sigma and its value to an organization. You will learn about the basic principles of Six Sigma and Lean. Your instructors will introduce you to, and have you apply, some of the tools and metrics that are critical components of Six Sigma. This course will provide you with the basic knowledge of the principles, roles, and responsibilities of Six Sigma and Lean. Every module will include readings, videos, and a quiz to help make sure you understand the material and concepts that are studied. You will also have the opportunity to participate in discussions and peer review exercises to give you the opportunity to apply the material to your daily life.
Our applied curriculum is built around the latest handbook The Certified Six Sigma Handbook (2nd edition) and students will develop /learn the fundamentals of Six Sigma. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Handbook (2nd edition). The companion text is not required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ). Welcome to the Six Sigma Yellow Belt Specialization! Six Sigma skills are widely sought by employers both nationally and internationally. These skills help to improve business processes and performance. Your team of instructors, Dr. Bill Bailey, Dr. David Cook, Dr. Christine Scherrer, and Dr. Gregory Wiles, currently work in the College of Engineering and Engineering Technology at Kennesaw State University. They have collaborated to create a specialization that is all encompassing of the Six Sigma methodologies for both Yellow and Green belt. Completion of this specialization will provide you with the knowledge to either continue to full Six Sigma certification or simply advance your knowledge professionally. In this module you will be introduced to the foundations of Six Sigma, the purpose of lean, and the value to the organization as a whole. 11 videos4 readings4 assignments In this module Dr. Bill Bailey will introduce you to the different types of quality tools as well as important Six Sigma metrics that can be used throughout the DMAIC process. Quality tools and metrics are a critical tool for process improvement. This module will introduce you to some of the most common quality tools as well as the most important Six Sigma metrics. 10 videos5 readings1 assignment2 peer reviews Teamwork is an essential component of successful quality improvement work. Many successful organizations have leaders who work in teams. In this module you will learn about why teams are so important to the Six Sigma process, the different types of teams and their different objectives, the different stages of team development, decision making methods for use in teams, and team communication methods. 6 videos4 readings2 assignments1 discussion prompt In this module you will be introduced to the purpose of lean and its methodologies. You will learn about the value of lean to an organization. This module will build off of what you have learned in the previous modules and help you to better understand how to better serve customers. 6 videos6 readings2 assignments1 discussion prompt | 4 modules | Beginner level | null | https://www.coursera.org/learn/six-sigma-principles | 94% |
6,389 | Community Awareness: Police Brutality in the U.S. | 2,265 | 4.3 | 17 | Teach-Out Experts | University of Michigan | [] | The tragic deaths of George Floyd, Breonna Taylor, and Ahmaud Arbery have sparked a wave of renewed protests against police brutality across the United States. These nationwide uprisings have transformed into an intense interest from the public around understanding systemic racism and abuse of power. Millions of Americans and people around the world are watching incidents of police violence and excessive force captured on video, but are looking to learn about the inequalities at the root of these incidents. While the calls of Black Lives Matter protesters to #DefundThePolice are being heard for the first time by many Americans, they are part of a longstanding effort by communities and activists to reinvest in communities rather than policing and prisons. In this course, you will learn about the history of police violence in America, become aware of laws and policies that prevent accountability, understand the demands of protesters, and gain the knowledge and tools to fight for change locally. The content for this Community Awareness course is adapted from a Teach-Out launched in July of 2020 from experts from across the United States involved in activism, social work, law, government, and higher education. An introductory history to the roots of modern policing in the United States. 3 videos8 readings2 discussion prompts An overview of some of the many costs of police violence to the lives of individuals and communities impacted by police violence. 8 videos11 readings3 discussion prompts In this module, we will cover some of the pressing issues in the patterns and practices of modern policing in the United States that present challenges to preventing police violence and misconduct. 5 videos6 readings2 discussion prompts In this module, we will explore the various ways that individuals and communities are working to respond to systemic police violence and misconduct from the arts and popular culture to our experts thoughts on how we can address policing issues locally and nationally. 13 videos2 readings3 discussion prompts In this module, you will find resources, advice, and strategies for planning how you can contribute to positive change in your community and develop an action plan to move forward. 12 videos12 readings1 discussion prompt | 5 modules | Beginner level | 17 hours to complete (3 weeks at 5 hours a week) | https://www.coursera.org/learn/police-brutality-in-the-united-states | null |
6,390 | Getting Started with Go | 72,798 | 4.6 | 2,338 | Ian Harris | University of California, Irvine | [] | Learn the basics of Go, an open source programming language originally developed by a team at Google and enhanced by many contributors from the open source community. This course is designed for individuals with previous programming experience using such languages as C, Python, or Java, and covers the fundamental elements of Go. Topics include data types, protocols, formats, and writing code that incorporates RFCs and JSON. Most importantly, you’ll have a chance to practice writing Go programs and receive feedback from your peers. Upon completing this course, you'll be able to implement simple Go programs, which will prepare you for subsequent study at a more advanced level. 1 reading Learn the basics of Go, an open source programming language originally developed by a team at Google and enhanced by many contributors from the open source community. This is the first in a series of three courses comprising the Programming with Google Go specialization. It is designed for individuals with previous programming experience using such languages as C, Python, or Java, and covers the fundamental elements of Go. Topics include data types, protocols, formats, and writing code that incorporates RFCs and JSON. Most importantly, you’ll have a chance to practice writing Go programs and receive feedback from your peers. Upon completing this course, you’ll be able to implement simple Go programs, which will prepare you for the remaining two courses in this specialization: Functions, Methods, and Interfaces in Go and Concurrency in Go. 1 video1 reading This first module gets you started with Go. You'll learn about the advantages of using Go and begin exploring the language's features. Midway through the module, you’ll take a break from "theory" and install the Go programming environment on your computer. At the end of the module, you'll write a simple program that displays “Hello, World” on your screen. 9 videos1 assignment1 peer review Now that you’ve set up your programming environment and written a test program, you’re ready to dive into data types. This module introduces data types in Go and gives you practice writing routines that manipulate different kinds of data objects, including floating-point numbers and strings. 11 videos1 reading1 assignment2 peer reviews At this point, we’re ready to move into more complex data types, including arrays, slices, maps, and structs. As in the previous module, you’ll have a chance to practice writing code that makes use of these data types. 7 videos1 assignment1 peer review This final module of the course introduces the use of remote function calls (RFCs) and JavaScript Object Notation (JSON) in Go. You’ll learn how to access and manipulate data from external files, and have an opportunity to write several routines using Go that exercise this functionality. 5 videos2 peer reviews | 6 modules | Intermediate level | null | https://www.coursera.org/learn/golang-getting-started | 93% |
6,391 | Relational Database Administration (DBA) | 28,052 | 4.4 | 205 | Ramesh Sannareddy | IBM | ['Database Security', 'Database (DBMS)', 'Database Servers', 'database administration', 'Relational Database'] | Get started with Relational Database Administration and Database Management in this self-paced course! This course begins with an introduction to database management; you will learn about things like the Database Management Lifecycle, the roles of a Database Administrator (DBA) as well as database storage. You will then discover some of the activities, techniques, and best practices for managing a database.
You will also learn about database optimization, including updating statistics, slow queries, types of indexes, and index creation and usage. You will learn about configuring and upgrading database server software and related products. You’ll also learn about database security; how to implement user authentication, assign roles, and assign object-level permissions. And gain an understanding of how to perform backup and restore procedures in case of system failures.
You will learn how to optimize databases for performance, monitor databases, collect diagnostic data, and access error information to help you resolve issues that may occur. Many of these tasks are repetitive, so you will learn how to schedule maintenance activities and regular diagnostic tests and send automated messages of the success or failure of a task. The course includes both video-based lectures as well as hands-on labs to practice and apply what you learn.
This course ends with a final project where you will assume the role of a database administrator and complete a number of database administration tasks across many different databases. Welcome to your first module on database administration. During this module, you’ll be introduced to a wide variety of information, including an overview of the types of tasks involved in database management and what a typical workday may look like. You will see that many tasks revolve around activities ranging from designing databases to planning and troubleshooting errors. At the end of the module, there will be several labs where you will gain hands-on experience learning about server objects, configurations, and database objects, including schemas, tables, triggers, and events. 5 videos3 readings4 assignments3 app items4 plugins During this module, you will learn how to back up and restore databases. These processes are essential aspects of any organization's health and its ability to respond quickly to changes in the system. Through hands-on labs, you will learn why it is vital to create backups and define policies and procedures. In this module, you’ll also learn about database security and user management, including creating and resetting user passwords, creating groups, and more! 9 videos2 readings4 assignments5 app items4 plugins In this module, you will learn how to create and keep baselines, performance metrics, standards, and finally, monitor RAM and disk usage, connections, and cache stats. You will also learn about database optimization, including updating statistics, slow queries, types of indexes, and index creation and usage. 5 videos2 readings2 assignments3 app items2 plugins In this module you will learn about some basic troubleshooting processes that help data engineers find frequently occurring issues such as connectivity, login, configuration, and whether the instance is running. You'll also learn how to automate many database functions, from managing alerts to generating and sending reports using standard Linux and Unix shell commands or cron jobs. 5 videos1 reading2 assignments2 app items In this module, you’ll complete your final course project, which brings together concepts and practices you previously learned in the first four modules. In this three part assignment, you will perform database administration tasks across different databases such as MySQL, PostgreSQL, DB2 and SQLITE. You will start by installing and configuring a database, managing users and performing a backup. You will move on to recovery, indexing, optimization and automation of routine tasks. Finally you will restore a database, create an index, create a view and connect to a database from the command line. 4 readings1 assignment1 peer review4 app items | 5 modules | Intermediate level | null | https://www.coursera.org/learn/relational-database-administration | 87% |
6,392 | Getting Started with Chef Cookbooks | Enrollment number not found | Rating not found | null | Whizlabs Instructor | Whizlabs | ['Cloud', 'IaC', 'Cookbooks', 'Chef', 'Automation'] | Chef is a powerful automation platform that transforms infrastructure into code. Chef automates how infrastructure is configured, deployed, and managed across your network without worrying about its size. Cookbooks are fundamental working units of Chef, which consists of all the details related to working units, having the capability to modify configuration and the state of any system configured as a node on Chef infrastructure. Cookbooks help in configuring the infrastructure with the help of other components like recipes, templates, files etc. This course is designed to provide a comprehensive understanding of Chef Cookbook and covers all the key aspects necessary to become proficient in managing infrastructure as code using Chef. You would gain step-by-step walk through from scratch on how to install and configure Chef. Later in the course, you would understand what are cookbooks, recipes, resources and attributes in Chef, you would also learn how to create cookbooks and write recipes.
This course provides 3 hours of training videos which are segmented into modules. The course concepts are easy to understand through lab demonstrations. In order to test the understanding of learners, every module includes Assessments in the form of Quiz and In Video Questions. A mandatory Graded Questions Quiz is also provided at the end of every module.
Module 1: Chef Cookbook: Introduction and Setup
Module 2: Create and Generate Chef Cookbooks
Module 3: Chef Cookbook: Advanced Topics
Getting Started with Chef Cookbooks will provide career growth to developers as many organizations are actively using Chef. The target audience for can be any learner:
-Who wants to learn configuration management using Chef
-Who wants to automate infrastructure management
By the end of this course, Learners will be able to :
-Introduction to Chef Cookbook and its setup and configuration.
-Gain a comprehensive understanding of Chef Cookbook
-Explore key aspects necessary to become proficient in managing infrastructure as code using Chef
-Generate Security, compliance, maintenance, and troubleshooting.
To be successful in this course, you should have a background in system administration, infrastructure, and network protocol communication, Experience with IaC tools in Cloud Welcome to Week 1 of the Getting Started with Chef Cookbooks course. In this week we will learn about Chef Cookbooks, starting with an overview and introduction to their concept. We will then dive into the installation and configuration of Chef, ensuring a functional setup. By the end of the course, we will explore the process of setting up a Chef infrastructure to effectively manage and control our configurations. 8 videos2 readings3 assignments1 discussion prompt Welcome to Week 2 of the Getting Started with Chef Cookbooks course. This week will cover important aspects of Chef Cookbooks. We will start by understanding Recipes and Resources, which are key components of Chef Cookbooks. Then, we will delve into Attributes and Templates, which allow for flexible and dynamic configuration. By the end of the course, we will learn how to create a Cookbook using ChefDK, a development kit specifically designed for Chef. 11 videos1 reading3 assignments Welcome to Week 3 of Getting Started with Chef Cookbooks course.This week focuses on testing, validation, and troubleshooting in Chef Cookbooks. You will learn various testing methods, including unit testing, to ensure the reliability of your configurations. Additionally, we will cover security, compliance, maintenance, and troubleshooting strategies. By the end of the week, you will have a solid grasp of these essential aspects of Chef Cookbooks. 11 videos3 readings3 assignments | 3 modules | Beginner level | 6 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/getting-started-with-chef-cookbooks | null |
6,393 | Risk Management Specialization | 25,310 | 4.6 | 843 | Jack Farmer | New York Institute of Finance | ['Credit Risk Measurement and Management', 'Market Risk Measurement and Management', 'Application of Financial Statistics and Probability', 'Operational Risk Measurement and Management', 'Credit Risk Measurement and Management', 'Market Risk Measurement and Management', 'Application of Financial Statistics and Probability', 'Operational Risk Measurement and Management'] | This 4-course Specialization from the New York Institute of Finance (NYIF) is intended for STEM undergraduates, finance practitioners, bank and investment managers, business managers, regulators, and policymakers. This Specialization will teach you how to measure, assess, and manage risk in your organization. By the end of the Specialization, you will understand how to establish a risk management process using various frameworks and strategies provided throughout the program. This program is intended for those who have an understanding of the foundations of Risk Management at a beginner level. To successfully complete the exercises within the program, you should have a basic knowledge of statistics and probability and familiarity with financial instruments (stocks, bonds, foreign exchange, etc). Experience with MS Excel recommended. Applied Learning Project Learners will complete a project in the third course covering the estimation and analysis of risk in a globally diversified equity portfolio. The portfolio will include allocations of equity indexes from the U.S., Japan, Hong Kong, and Germany. Data for the two years prior to March 2020 will be used to convert daily returns in each indexes' currency into dollar returns. Value-at-Risk and Expected Shortfall for the portfolio will be calculated using an equal-weighted sample and an exponentially weighted sample. Learners will then be given a new 2-year data set that includes the market data through August of 2020. They will be asked to re-evaluate risk for the portfolio using Value-at-Risk and Expected Shortfall. Differentiate between financial and business risks Examine the key concepts and factors of risk measurement Understand the application of risk modeling Understand the principles of risk management Use business and industry analysis to understand companies, projects, business models, and financing proposals Prepare a qualitative risk analysis for specific companies to use as the basis for financial analysis, project analysis, and risk decisions Understand the principles & concepts of credit risk including categories of risk, types of exposure, credit products, expected/unexpected credit loss Identify best-practice frameworks for assessing market risk. Estimate Value at Risk and use in a risk management strategy. Model market factors such as interest rates, equity, and commodity prices. Understand the fundamentals of operational risk management from the different roles in risk governance to the application of risk frameworks Report and investigate operational risk events, produce KRI data and trend analysis, and implement operational risk appetite frameworks Build and implement an operational risk assessment program | 4 course series | Beginner level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/risk-management | null |
6,394 | Gmail | 32,570 | 4.7 | 971 | Google Cloud Training | Google Cloud | [] | Gmail is Google’s cloud based email service that allows you to access your messages from any computer or device with just a web browser. In this course, you’ll learn how to compose, send and reply to messages. You will also explore some of the common actions that can be applied to a Gmail message, and learn how to organize your mail using Gmail labels.
You will explore some common Gmail settings and features. For example, you will learn how to manage your own personal contacts and groups, customize your Gmail Inbox to suit your way of working, and create your own email signatures and templates.
Google is famous for search. Gmail also includes powerful search and filtering. You will explore Gmail’s advanced search and learn how to filter messages automatically. This module covers the agenda. It also introduces students to On the Rise and the course business challenge. 2 videos In this module, you’ll be introduced to Gmail and learn how to access it through your browser. You’ll also learn how to send email, manage Gmail conversations, and explore some common actions that can be taken on your messages. 7 videos1 reading1 assignment Labels in Gmail allow you to organize messages based on different contexts. In this module you will learn how to create and manage labels, and how to apply them to your messages. 3 videos1 reading1 assignment In this module you will learn how Gmail integrates with other Google Workspace apps to help make you more productive and effective. 4 videos1 reading1 assignment Gmail provides many ways to protect your Inbox. In this module you will explore how Gmail automatically protects you and how you can customize settings to ensure that you are only receiving the content you need. 1 video1 assignment In this module you’ll explore how to effectively use contacts in Gmail. We’ll discuss the differences between directory and personal contacts, and you will learn how to create and manage your own personal contacts and groups. 4 videos1 reading1 assignment This module explores unique features in Gmail that are designed to save you time and improve your productivity. You will learn how to create your own Gmail signatures, email templates, out of office alerts, and more. 3 videos3 readings1 assignment In this module you’ll learn how to personalize your Gmail experience and use features to enhance your productivity and speed up your workflow. You’ll explore how to create filters, search for messages, delay the sending of messages until a specified time, use keyboard shortcuts, apply different Inbox types, and enable desktop notifications. 6 videos2 readings1 assignment In this module, you will put everything you have learned into practice by helping our fictional Google Workspace customer solve their business challenge. 3 videos1 reading | 9 modules | Beginner level | null | https://www.coursera.org/learn/gmail | 97% |
6,395 | Introduction to Computer Programming | 80,386 | 4.1 | 885 | Dr Edward Anstead | University of London | [] | This MOOC provides you with the foundational skill set required to write computer programs. If you are interested in learning how to write interactive, graphical programs from an introductory level in a real programming language, this is the course for you. You will begin by learning the basics of editing and running programs. Then you will learn how to create 2D graphics using shapes and coordinates. Finally, you will learn how to create interactive graphics that you can control with the mouse. You will even solve a set of interactive puzzles using your coding skills in the Sleuth game which has been created especially for this course. The course uses the Javascript language and the p5.js library. In this topic you will learn about three key concepts:
• The toolkit we will use to develop programs.• Drawing using simple shapes and 2D coordinates.• The process and experience of writing code. 8 videos7 readings2 assignments1 programming assignment4 discussion prompts In this topic you will learn about three key concepts: • Set of 2D drawing functions in p5.js • Colour representation and styles • Debugging with the console 7 videos4 readings4 assignments3 discussion prompts In this topic you will learn about three concepts: • Variables and data
• Simple interaction
• Code organisation 10 videos4 readings4 assignments3 discussion prompts | 3 modules | Beginner level | null | https://www.coursera.org/learn/introduction-to-computer-programming | 91% |
6,396 | Vital Skills for Data Science Specialization | 4,509 | 4.5 | 58 | Al Pisano | University of Colorado Boulder | ['Information Privacy', 'Cybersecurity', 'analysis', 'Ethics'] | Vital Skills for Data Science introduces students to several areas that every data scientist should be familiar with. Each of the topics is a field in itself. This specialization provides a "taste" of each of these areas which will allow the student to determine if any of these areas is something they want to explore further. In this specialization, students will learn about different applications of data science and how to apply the steps in a data science process to real life data. They will be introduced to the ethical questions every data scientist should be aware of when doing an analysis. The field of cybersecurity makes the data scientist aware of how to protect their data from loss. This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program athttps://www.coursera.org/degrees/master-of-science-data-science-boulder.Opens in a new tabhttps://www.coursera.org/degrees/master-of-science-data-science-boulder.Opens in a new tab Logo image byJJ YingOpens in a new tabonUnsplashOpens in a new tab Applied Learning Project Projects will encourage students to engage in ethical discussions, hone networking skills, address cybersecurity threats, and explore the professional world of Data Science. These projects will help students develop an understanding of the field and gain skills that will help them be successful. By taking this course, you will be able explain what data science is and identify the key disciplines involved. You will be able to use the steps of the data science process to create a reproducible data analysis and identify personal biases. You will be able to identify interesting data science applications, locate jobs in Data Science, and begin developing a professional network. Learners will be able to Identify and manage ethical situations that may arise in their careers. Learnerrs will be able to apply ethical frameworks to help them analyze ethical challenges. Learners will be familiar with key applications of data science that are commonly linked to ethical issues. Develop a toolkit for exploring and communicating complex data using visualization Produce basic data visualizations using a chosen dataset Compare methods for visualizing data and understand how these methods may guide users towards different conclusions Evaluate how effectively a visualization conveys target data | 4 course series | Intermediate level | 2 months (at 10 hours a week) | https://www.coursera.org/specializations/vital-skills-for-data-science | null |
6,397 | Microsoft IT Support Specialist Professional Certificate | 16,708 | 4.7 | 369 | Microsoft | Microsoft | ['Software Configuration', 'Network Protocols', 'Computer hardware', 'Cloud Computing', 'Troubleshooting', 'Generative AI in IT Support', 'Software Configuration', 'Network Protocols', 'Computer hardware', 'Cloud Computing', 'Troubleshooting', 'Generative AI in IT Support'] | Learners who complete this program will receive a 50% discount voucher to take the MS-900 Certification Exam. Organizations rely on IT support professionals to drive the development and maintenance of various technological systems. Prepare for a new career in this high-demand field with professional training from Microsoft, one of the largest technology companies in the world. The role of an IT support professional includes handling computer systems, networks, and software applications. With 60% of Fortune 500 companies using Microsoft 365 to empower their workforce, developing IT support skills is essential in this field.1 Through a mix of videos, assessments, and hands-on activities, you’ll develop a strong foundation in IT support fundamentals, networking, software, hardware and data backup, cybersecurity, Microsoft 365 ecosystem, and Troubleshooting Diagnostics. You'll also have the option to learn how generative AI tools and techniques are used in IT Support. When you graduate, you’ll have tangible examples to talk about in job interviews, and you’ll also be prepared to take the Exam MS-900: Microsoft 365 Fundamentals. 1Microsoft solutions boost productivity of Fortune 500 frontline workers with next-generation AI. (2023, August 10). Applied Learning Project This program has been uniquely mapped to key job skills required in IT support specialist roles. In each course, you’ll be able to consolidate what you have learned by completing a project that simulates real-world IT support specialist scenarios. You’ll also complete a final capstone project where you’ll work through the process of solving a fictional IT-related business problem as an IT support specialist. The project will include practicing on: A real-world scenario focused on system maintenance and upgrading, network connectivity, software selection, and set-up, as well as security considerations. A real-world capstone project that enables you to demonstrate your IT support specialist skills. Based on this information you will: Examine the output of several diagnostic tools. Document an upgrade recommendation that also takes the business use of the system into account. Use multiple diagnostic outputs to assess and diagnose typical IT issues and recommend a solution. Learn about computer components like CPU, memory, and storage. Learn how computer system components, such as the CPU, memory, and storage devices, interact with the operating system. Gain insight into security, hardware, and software relationships. Learn computer networking basics, like TCP/IP and OSI models, and how devices collaborate. Gain insights into network infrastructure and monitoring techniques for effective management. Learn about network security components, approaches, and mitigation strategies. Gain insight into key aspects of IT security and data management. Develop an understanding of secure software setup and implementation. Learn effective strategies for hardware configurations and data backup and recovery. Gain insight into the fundamentals of cybersecurity concepts for ensuring user data privacy. Learn how to secure digital communications, optimize network performance, and understand how VPNs work. Gain knowledge about the diverse landscapes of on-premises computing, cloud services, and server communication. Gain insight into the components and services within Microsoft 365, such as Office applications, collaboration tools, and cloud-based services. Understand the integration between Microsoft 365 applications and their pivotal role in enhancing business productivity and security. Learn about the automation tools available within Microsoft 365 and how to leverage them to streamline workflows and improve overall efficiency. Gain insight into troubleshooting approaches for both hardware and software issues across various operating systems Learn to apply a systematic approach to diagnose technical issues across different hardware and software environments Master diagnostic tools for efficient problem-solving in system maintenance, upgrades, network connectivity, software setup, and security Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. | 6 course series | Beginner level | 3 months (at 10 hours a week) | https://www.coursera.org/professional-certificates/microsoft-it-support-specialist | null |
6,398 | Software Engineering: Software Design and Project Management | 13,948 | 4.6 | 116 | Kenneth W T Leung | The Hong Kong University of Science and Technology | ['Project Management', 'Software Engineering', 'Systems Design', 'Project Planning'] | Software Development Life Cycle (SDLC) is the process of developing software through planning, requirement analysis, design, implementation, testing, and maintenance. This course focuses on the project planning and analysis/design phases of SDLC, and you will learn about different architectural patterns and design patterns to solve common problems in software design. It covers project planning, scheduling, and cost estimating, which are the principal tasks of software project managers. Basic object-oriented programming (OOP) concepts are required to understand different design patterns covered in this course. System design is driven by the UML models derived from requirement analysis. It is recommended to take the course "Software Engineering: Modeling Software Systems using UML" before attempting this course, but it is not a hard requirement. Welcome to the first module of this course! In this module, you will learn: (1) The purpose and importance of system analysis and design. (2) The major activities that take place during system analysis
and design. (3) How to realize design goals and deal with the implementation environment. (4) What are architectural patterns and design patterns and when to use them. 4 videos3 readings1 assignment In this module, you will learn: (1) How to use a state machine diagram to describe the behavior inside an object. 2 videos3 readings1 assignment In this module, you will learn: (1) A design pattern is a general reusable solution to a commonly occurring problem in software design. (2) Strategy Pattern. (3) Observer Pattern. 3 videos3 readings1 assignment In this module, you will learn: (1) Mediator Pattern. (2) Proxy Pattern. (3) Bridge Pattern. (4) Singleton Pattern. (5) Factory Pattern. (6) When to use design patterns. (7) Anti Patterns. 5 videos3 readings1 assignment In this module, you will learn: (1) The quality assurance process and the central process activities of quality assurance, quality planning and quality control. (2) The quality assurance process and the central process activities of quality assurance, quality planning and quality control. (3) The principles of software development process improvement and why process improvement is worthwhile. 4 videos1 reading1 assignment In this module, you will learn: (1) The principal tasks of software project managers. (2) The need of project planning in all software projects. (3) Requirements for staffing and scheduling in software projects. (4) Techniques for estimating the size and cost of software development. (5) Project tracking and control. 3 videos1 reading1 assignment | 6 modules | Intermediate level | 19 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/software-engineering-software-design-and-project-management | null |
6,399 | Building Your Artistic Brand | Enrollment number not found | Rating not found | null | Jeffrey Nytch | University of Colorado Boulder | ['Email Communication', 'Social Media', 'Marketing', 'Entrepreneurship', 'Branding'] | Are you a musician looking to stand out in a crowded, competitive music industry? Do you want to build a distinctive brand that sets you apart from the rest? In today's world, where musical content is everywhere, developing a unique artistic brand is more important than ever. Whether you're just starting out or you're a seasoned pro looking to take your career to the next level, this course is the perfect way to gain the knowledge and skills you need to stand out from the crowd. In this course, you will explore how to develop a distinct and authentic brand identity that resonates with your audience, and gain insights in market research techniques, audience analysis, target demographics, and marketing channels. You'll gain an understanding of the principles of branding as they apply to the performing arts and learn best practices for curating and maintaining a professional online image, utilizing social media platforms effectively, and engaging with your audience. Mastering these branding skills will provide you with the essential tools to distinguish yourself from the competition and achieve success in your music career.
This course can be taken by itself or as part of the “Musician's Professional Toolbox” specialization. In this module, you will learn the key components of one’s artistic brand and determine how to use those to communicate your Mission Statement from the first course in this specialization, "Strategies for Success in your Music Career". 3 videos3 readings1 assignment2 discussion prompts In this module, you will learn how to determine the characteristics of your market and how to best meet their needs. 2 videos1 reading1 assignment1 discussion prompt In this module you will learn how to determine the best ways to reach and engage your target market through a variety of virtual and physical channels. 3 videos1 assignment1 peer review1 discussion prompt In this module, you will learn how to use email, e-newsletters, social media and other online channels in an integrated and holistic way to build and manage your online presence. 4 videos1 assignment1 peer review1 discussion prompt | 4 modules | Intermediate level | 9 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/building-your-artistic-brand | null |
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