📘📊 Introduction to Python Libraries for Data Science | Core Concepts Explained

This video provides a structured introduction to importing and using essential Python libraries required for Data Science.
It covers how NumPy, Pandas, Matplotlib, and Seaborn are used to analyze data, create visual insights, and manage datasets efficiently.

🎯 Learning Objectives:

Understand how to import Python libraries for Data Science

Learn the purpose of NumPy, Pandas, Matplotlib, and Seaborn

Identify where these libraries are applied in Data Science projects

Observe a basic demonstration of library usage in Python

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