Welcome to Part 1 of our comprehensive Python for Data Science full course! This 10+ hour video is packed with over 5 real-world projects to help you master Python and apply it effectively in data science.
Link to Download Notes - [ Ссылка ]

In this video

00:03.27 - Intro
03:28 - How To Download Notes
08:06 - Python for Data Science Part 1 Full Course Overview
11:07 - Lecture No. 1 : Fundamentals of Data Science
1:13:54 - Lecture No. 2 : Variables & Data Types
2:04:20 - Lecture No. 3 : Operators in Python
3:05:21 - Lecture No. 4 : Built in Functions part 1
3:50:28 - Lecture No. 5 : Built in Functions part 2
4:46:51 - Lecture No. 6 : Special Interview Based Class
5:26:38 - Lecture No. 7 : Control Flow Statements
6:16:22 - Lecture No. 8 : Loops in Python part 1
6:50:38 - Lecture No. 9 : Loops in Python part 2
7:35:15 - Lecture No. 10 : User Defined Functions
8:14:27 - Lecture No. 11 : Special Interview Based Class
8:56:34 - Lecture No. 12 : Strings in Python part 1
9:38:22 - Lecture No. 13 : Strings in Python part 2
Libraries : Numpy, Pandas , Matplotlib, Seaborn, Plotly
5+ Projects

Stay Tuned for the upcoming parts 🎉

📚 Course Overview: Get an introduction to the course structure and what you can expect to learn.

🐍 Python Basics: Start with the fundamentals of Python programming, including variables, data types, and control structures.

🔄 Data Structures: Dive deep into essential data structures such as lists, dictionaries, and tuples.

📈 Data Manipulation: Learn how to manipulate and analyze data using powerful Python libraries like Pandas and NumPy.

🔍 Data Visualization: Discover how to create compelling data visualizations using Matplotlib and Seaborn.

🛠️ Real-World Projects: Apply your skills with hands-on projects that cover various data science problems, from data cleaning to building machine learning models.

🌟 Additional Resources: Access further resources and materials to enhance your learning experience.

✨Lecture 1 to 13 Notes - [ Ссылка ]
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Whether you're a beginner or looking to solidify your knowledge, this course will provide you with the skills and confidence to tackle data science projects using Python. Don’t forget to like, comment, and subscribe for more parts and updates!

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