app.py

import streamlit as st
st.markdown("<h1 style='text-align: center; color: grey;'>Data Analysis With Python 🕵</h1>", unsafe_allow_html=True)




with st.container():
   st.markdown("<h2 style='text-align: center; color: grey;'>About the web app </h2>", unsafe_allow_html=True)
   st.markdown("""About the App
Welcome to Data Analysis Mastery with Python – your ultimate companion for mastering data analysis concepts through Python! Whether you're a student aiming to excel in your coursework or a professional seeking to enhance your data analysis skills,
this app is designed to cater to all your learning and revision needs.""")

with st.container():
    st.markdown("<h2 style='text-align: center; color: grey;'>Key Features:</h2>", unsafe_allow_html=True)

    st.markdown("""Comprehensive Notes:

Dive into well-structured and detailed notes covering all essential data analysis concepts, from basic to advanced levels. Each topic is explained in simple, easy-to-understand language, ensuring you grasp the fundamentals and intricacies of data analysis.
Hands-On Code Examples:

Learn by doing! Our app provides numerous code snippets and full-length examples to help you understand how to implement data analysis techniques using Python. Practice with real-world datasets to solidify your understanding.
Interactive Quizzes:

Test your knowledge with a variety of quizzes designed to challenge your understanding and retention of data analysis concepts. Quizzes range from multiple-choice questions to coding challenges, catering to different levels of expertise.
Projects:

Apply your skills to real-world problems with our curated list of projects. These projects are designed to help you build a portfolio of work, showcasing your ability to analyze data and derive meaningful insights.
Progress Tracking:

Monitor your learning journey with our progress tracking feature. Set goals, complete quizzes and projects, and see how far you've come in mastering data analysis with Python.
Community and Support:

Join a vibrant community of learners and professionals. Share your knowledge, ask questions, and collaborate on projects. Our support team and community members are here to help you succeed.
Why Choose Data Analysis Mastery with Python?

Comprehensive Learning: Covering all key aspects of data analysis with Python, from basic concepts to advanced techniques.
Practical Approach: Focused on hands-on learning with ample opportunities to apply your knowledge through code examples, quizzes, and projects.
Flexible Learning: Suitable for both beginners and advanced learners, with content tailored to different levels of expertise.
Resource-Rich: A one-stop resource for all your data analysis learning needs, ensuring you have everything you need in one place.
Embark on your journey to becoming a data analysis expert with Data Analysis Mastery with Python. Start learning, practicing, and mastering the art of data analysis today!""")

col1, col2, = st.columns(2,gap="small")

with col1:
  st.page_link("pages/Intro.py", label="Intro", icon="1️⃣")
with col2:
  st.page_link("pages/RoadMap.py", label="Roadmap", icon="2️⃣",)