Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -6,7 +6,36 @@ st.markdown("<h1 style='text-align: center; color: grey;'>Data Analysis With Pyt
|
|
| 6 |
|
| 7 |
with st.container():
|
| 8 |
st.markdown("<h2 style='text-align: center; color: grey;'>About the web app </h2>", unsafe_allow_html=True)
|
| 9 |
-
st.markdown("
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
|
| 11 |
col1, col2, = st.columns(2,gap="small")
|
| 12 |
|
|
|
|
| 6 |
|
| 7 |
with st.container():
|
| 8 |
st.markdown("<h2 style='text-align: center; color: grey;'>About the web app </h2>", unsafe_allow_html=True)
|
| 9 |
+
st.markdown("""About the App
|
| 10 |
+
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.
|
| 11 |
+
|
| 12 |
+
Key Features:
|
| 13 |
+
|
| 14 |
+
Comprehensive Notes:
|
| 15 |
+
|
| 16 |
+
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.
|
| 17 |
+
Hands-On Code Examples:
|
| 18 |
+
|
| 19 |
+
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.
|
| 20 |
+
Interactive Quizzes:
|
| 21 |
+
|
| 22 |
+
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.
|
| 23 |
+
Projects:
|
| 24 |
+
|
| 25 |
+
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.
|
| 26 |
+
Progress Tracking:
|
| 27 |
+
|
| 28 |
+
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.
|
| 29 |
+
Community and Support:
|
| 30 |
+
|
| 31 |
+
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.
|
| 32 |
+
Why Choose Data Analysis Mastery with Python?
|
| 33 |
+
|
| 34 |
+
Comprehensive Learning: Covering all key aspects of data analysis with Python, from basic concepts to advanced techniques.
|
| 35 |
+
Practical Approach: Focused on hands-on learning with ample opportunities to apply your knowledge through code examples, quizzes, and projects.
|
| 36 |
+
Flexible Learning: Suitable for both beginners and advanced learners, with content tailored to different levels of expertise.
|
| 37 |
+
Resource-Rich: A one-stop resource for all your data analysis learning needs, ensuring you have everything you need in one place.
|
| 38 |
+
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!""")
|
| 39 |
|
| 40 |
col1, col2, = st.columns(2,gap="small")
|
| 41 |
|