Udemy - Python Data Analysis - Matplotlib, Seaborn, Pandas and NumPy

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.4 GB
  • Uploaded Byfreecoursewb
  • Downloads19
  • Last checkedFeb. 12th '26
  • Date uploadedFeb. 12th '26
  • Seeders 2
  • Leechers11

Infohash : 4028550F6C0320D8A4FA5DA85977F2B2435EA5B0

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

Files:

[ WebToolTip.com ] Udemy - Python Data Analysis - Matplotlib, Seaborn, Pandas and NumPy
  • 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)

Code:

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