Udemy - Python Data Analysis - Matplotlib, Seaborn, Pandas and Nu...

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Python Fundamentals
• 1. Introduction to Python.mp4 (41.4 MB)
• 2. Data Types and Variables.mp4 (34.2 MB)
• 3. Operators and Expressions.mp4 (99.6 MB)
• 4. Control Flow (if else loops).mp4 (67.7 MB)
• 5. Functions and Modules.mp4 (56.2 MB)
• 6. Working with Files.mp4 (83.1 MB)
2 - Data Manipulation with Pandas
• 10. Data Filtering and Selection.mp4 (104.7 MB)
• 11. Data Aggregation and Transformation.mp4 (92.4 MB)
• 12. Working with Time Series Data.mp4 (80.7 MB)
• 7. Introduction to Pandas.mp4 (63.9 MB)
• 8. Series and DataFrames.mp4 (66.0 MB)
• 9. Data Loading and Cleaning.mp4 (91.1 MB)
3 - Data Visualization with Matplotlib & Seaborn
• 13. Introduction to Matplotlib.mp4 (104.2 MB)
• 14. Creating Basic Plots.mp4 (65.6 MB)
• 15. Customizing Plots.mp4 (75.1 MB)
• 16. Working with Subplots.mp4 (66.1 MB)
• 17. Introduction to Seaborn.mp4 (79.0 MB)
• 18. Exploratory Data Analysis with Seaborn.mp4 (78.6 MB)
4 - Data Analysis with NumPy
• 19. Introduction to NumPy Arrays.mp4 (98.7 MB)
• 20. Array Operations and Broadcasting.mp4 (90.1 MB)
• 21. Linear Algebra with NumPy.mp4 (94.1 MB)
• 22. Random Number Generation.mp4 (84.0 MB)
5 - Introduction to Machine Learning
• 23. Machine Learning Concepts.mp4 (55.4 MB)
• 24. Supervised Learning Algorithms.mp4 (131.8 MB)
• 25. Unsupervised Learning Algorithms.mp4 (101.7 MB)
• 26. Model Evaluation and Selection.mp4 (132.1 MB)
6 - Working with APIs and Web Data
• 27. Introduction to APIs.mp4 (50.7 MB)
• 28. Making API Requests.mp4 (52.3 MB)
• 29. Parsing JSON and XML Data.mp4 (86.4 MB)
• 30. Web Scraping Techniques.mp4 (90.3 MB)
• Bonus Resources.txt (0.1 KB)