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Introduction

Module 1 (Introduction)

In this handbook, we walk through the complete implementation of a Student Performance Analysis project using Python in Google Colab.
The project focuses on analyzing real-world student data to identify patterns in exam scores, attendance, study habits, and other factors using data science techniques.

Before diving into analysis and visualizations, this module introduces the core ideas behind Data Science, explains how it is applied to student performance data, and outlines the purpose and scope of the project.
The goal is to help beginners understand not just how the analysis is done, but why each step is important.