Python for Data Analysis: Complete Beginner's Guide 📊

Master the essentials of Python programming and take your data analysis skills to the next level with this comprehensive course. Designed for beginners, this course introduces Python basics before diving deep into powerful data analysis tools like NumPy and pandas. You’ll also learn how to create stunning visualizations using libraries such as Matplotlib, Seaborn, and Plotly.

Data Used:
https://pivotalstats.com/wp-content/uploads/2025/05/WHO.zip
https://pivotalstats.com/wp-content/uploads/2025/05/AAPL.zip

Google Colab:
https://colab.research.google.com/


Chapters :
00:00:12 - Introduction
00:03:14 - Variables, Data Types & Operators
00:15:27 - Type of Operators
00:25:10 - If Condition, Indexing & Comments
00:34:06 - Creating Custom Functions
00:42:03 - Working with Collection Data Type
00:54:48 - Loops
01:01:09 - Working with Libraries
01:07:33 - Intro to Numpy
01:20:07 - Intro to Pandas
01:36:24 - Visualization Libraries




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