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Update pages/Intro_DS.py
Browse files- pages/Intro_DS.py +21 -1
pages/Intro_DS.py
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"Data science is a multidisciplinary subject concerned with collecting knowledge and insights from organised and unstructured data utilising scientific techniques, procedures, algorithms, and systems. Here's a more detailed look at the major components of data science."
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"</p>",
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unsafe_allow_html=True
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"Data science is a multidisciplinary subject concerned with collecting knowledge and insights from organised and unstructured data utilising scientific techniques, procedures, algorithms, and systems. Here's a more detailed look at the major components of data science."
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"</p>",
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unsafe_allow_html=True
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st.markdown("<h2 style='text-align: center; color: ;'>Key Ascepts of Data Science</h2>", unsafe_allow_html=True")
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st.markdown(
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"<p style='font-size: 16px; color:Blue; font-style: italic'>"
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"Data Collection: Collecting information from various sources such as databases, sensors, web scraping, and APIs."
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"Data cleaning is the process of preparing raw data by eliminating mistakes, filling in missing numbers, or addressing formatting problems."
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"Data analysis involves using statistical and exploratory tools to uncover patterns and trends in data."
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"Data modelling entails creating predictive or descriptive models using machine learning methods."
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"Data Visualisation: Using charts, graphs, and dashboards to show data and conclusions in an understandable format."
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"Decision Making: Applying insights to address corporate problems, improve procedures, or create new products."
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"</p>",
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unsafe_allow_html=True)
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st.markdown("<h2 style='text-align: center; color: ;'>Skills required for DS</h2>", unsafe_allow_html=True")
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st.markdown(
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"<p style='font-size: 16px; color:Blue; font-style: italic'>"
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"Skills required include Python, R, SQL, and other programming languages.Mathematics and statistics skills include probability, linear algebra, and hypothesis testing."
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"Machine Learning includes both supervised and unsupervised learning techniques such as regression, classification, and clustering.Data wrangling and ETL include extracting, manipulating, and loading data for analysis."
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"Visualisation tools include Tableau, Power BI, Matplotlib, and Seaborn."
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"</p>",
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unsafe_allow_html=True)
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