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Python 3
Data Analysis and Insights

Data Analysis and Insights

Module 5 (Data Analysis and Insights)

In this module, we analyze the cleaned student performance dataset to understand how different academic and personal factors influence exam scores. The focus is entirely on analysis and interpretation, not prediction or deployment. Using grouping techniques and visualizations in Google Colab, we explore patterns related to study hours, attendance, teacher quality, parental education level, and other influencing factors.

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Data Analysis and Insights

Contents

Module 5 (Data Analysis and Insights)

Student Performance Analysis Project for Beginners Using Data Science

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Python Basics Handbook

Javascript Handbook

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Computer Networks Tutorial

Operating System Tutorial

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Java Tutorial

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PHP Tutorial

Android Tutorial

Linux Guide Tutorial

Data Structures and Algorithms Tutorial

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

Web Scraping Tutorial

Networking with Python

Tkinter Tutorial

Java Programs Tutorial

Java Examples Tutorial

Servlet Tutorial

JSP Tutorial

Java Type Conversion Tutorial

Java 8 Tutorial

Java 9 Tutorial

Java 10 Tutorial

Java 11 Tutorial

Java Util Library Tutorial

Building a Contact Us Form in ReactJS

Building a Age Calculator App Using ReactJS

Movie Recommendation System Project Using Content-Based Filtering

Recipe Finder App using ReactJS

Sales Data Analysis Project for Beginners Using Data Science

Word Counter Tool Using ReactJS