Udemy - Complete Python Basics To Data Analysis Masterclass

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 588.0 MB
  • Uploaded By freecoursewb
  • Downloads 280
  • Last checked 3 days ago
  • Date uploaded 6 days ago
  • Seeders 14
  • Leechers 6

Infohash : 90EEFB2F522DA763F8B137EB851D6DCF672F87FA



Complete Python Basics To Data Analysis Masterclass

https://WebToolTip.com

Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 588.06 MB | Duration: 2h 7m

Master Python basics, then clean, explore, and visualize datasets like a real data analyst

What you'll learn
Students will learn Python from beginner level, including variables, conditions, loops, functions, and basic OOP.
They will use Pandas and NumPy to load, clean, transform, and analyze real datasets.
They will create clear charts and visual insights using Matplotlib and Seaborn for Exploratory Data Analysis (EDA).
they will complete hands-on exercises and projects they can use for a portfolio.

Requirements
No prior programming experience is required
They should be able to install Python and a code editor like VS Code or use Jupyter Notebook
A willingness to practice and type code during lessons is the most important requirement.

Files:

[ WebToolTip.com ] Udemy - Complete Python Basics To Data Analysis Masterclass
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1 - Introduction
    • 1 - Introduction.mp4 (118.9 MB)
    2 - Python Basic
    • 2 - Variables.mp4 (15.1 MB)
    • 3 - Operators.mp4 (23.1 MB)
    • 4 - Strings.mp4 (25.1 MB)
    • 5 - Conditions.mp4 (23.9 MB)
    • 6 - Loop.mp4 (38.2 MB)
    • 7 - Functions.mp4 (21.2 MB)
    • 8 - Functions.mp4 (21.2 MB)
    3 - Python Object Oriented Programming
    • 10 - OOP Inheritance.mp4 (23.6 MB)
    • 11 - Encapsulation Polymorphism.mp4 (25.6 MB)
    • 12 - OOP Project Mini POS.mp4 (18.7 MB)
    • 12 - mini-pos-oop.py (20.4 KB)
    • 13 - OOP Project Library Management System.mp4 (12.8 MB)
    • 13 - library-oop.py (14.2 KB)
    • 9 - OOP Basic.mp4 (23.8 MB)
    4 - Python with Data analysis
    • 14 - Pandas.mp4 (36.4 MB)
    • 15 - Numpy.mp4 (16.0 MB)
    • 16 - Scipy.mp4 (28.0 MB)
    • 16 - scipy.py (3.1 KB)
    • 17 - Matplotlib.mp4 (39.2 MB)
    • 17 - Matplotlib.py (0.8 KB)
    • 18 - Seaborn.mp4 (27.2 MB)
    • 18 - seaborn-titanic-eda.py (3.8 KB)
    • 19 - PLotly Express.mp4 (36.2 MB)
    • 19 - plotly.py (4.4 KB)
    • 20 - Excel ImportExport.mp4 (13.9 MB)
    • Bonus Resources.txt (0.1 KB)

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