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Python 3
Dataset Download and Environment Setup

Dataset Download and Environment Setup

Lesson 1: Dataset Download and Environment Setup

Lesson 1: Dataset Download and Environment Setup

Before starting the analysis, the dataset must be downloaded and prepared inside Google Colab. In this project, the dataset is sourced from Kaggle: https://www.kaggle.com/datasets/lainguyn123/student-performance-factors

After downloading the dataset from Kaggle, it is uploaded manually into Google Colab.

Uploading The Dataset In Colab

• Click the folder icon on the left sidebar in Colab
• Click the Upload button
• Select the downloaded ZIP file from your system
• The file appears inside the /content/ directory

Since the dataset is in ZIP format, it must be extracted before accessing the CSV file.

Code To Extract The ZIP File

! unzip "/content/archive (2).zip"

Once the ZIP file is extracted, the CSV dataset inside becomes accessible for loading into Python. This step ensures the dataset is properly prepared for inspection, cleaning, and further analysis in the next lesson.

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Dataset Download and Environment Setup

Contents

Lesson 1: Dataset Download and Environment Setup

Student Performance Analysis Project for Beginners Using Data Science

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Linux Guide Tutorial

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Computer Architecture

HTML 5 References Tutorial

Docker Tutorial

GIT (Using Github) Tutorial

Go Language Tutorial

GIT Guide

CSS Tutorial

Advanced Data Structures

Spring Framework Tutorial

Spring Boot Tutorial

Kotlin Tutorial

Apache Cordova Tutorial

Python Tutorial

SASS-SCSS Tutorial

MongoDB Tutorial

Numpy Tutorial

PL-SQL Tutorial

Python Built-in Functions Tutorial

Pandas Tutorial

Elasticsearch Tutorial

Matplotlib Tutorial

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Tkinter Tutorial

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Java Examples Tutorial

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Java 8 Tutorial

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Building a Age Calculator App Using ReactJS

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