| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Python Fundamentals | |||
| 1. Introduction to Python.mp4 | 41.4 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 | ||
| 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 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 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 | ||
| 7. Introduction to Pandas.mp4 | 63.9 MB | ||
| 8. Series and DataFrames.mp4 | 66 MB | ||
| 9. Data Loading and Cleaning.mp4 | 91.1 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 |
Python Data Analysis - Matplotlib, Seaborn, Pandas & NumPy
https://WebToolTip.com
Published 1/2026
Created by Muhammad Riaz Uddin
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 30 Lectures ( 3h 0m ) | Size: 2.4 GB
Master Data Analysis with Python: Visualize Data, Clean Datasets, Analysis Using Matplotlib, Seaborn, Pandas and NumPy
What you'll learn
✓ Introduction to Python
✓ Data Types and Variables
✓ Operators and Expressions
✓ Control Flow (if/else, loops)
✓ Functions and Modules
✓ Introduction to Pandas
✓ Data Loading and Cleaning
✓ Data Filtering and Selection
✓ Introduction to Matplotlib
✓ Creating Basic Plots
✓ Working with Subplots
✓ Introduction to Seaborn
✓ Exploratory Data Analysis with Seaborn
✓ Introduction to NumPy Arrays
✓ Array Operations and Broadcasting
✓ Linear Algebra with NumPy
✓ Machine Learning Concepts
✓ Supervised Learning Algorithms
✓ Model Evaluation and Selection
✓ Introduction to APIs
✓ Making API Requests
✓ Web Scraping Techniques
Requirements
● Basic Python knowledge is helpful but not required
● No prior experience with data analysis or visualization needed
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