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Student Performance Analysis - Python

Description

This Python project analyzes student performance using data analysis and visualization techniques. The goal is to explore factors affecting student grades and provide insights through charts and graphs.

Features

  • Data Cleaning & Preprocessing: Handle missing values and prepare data for analysis.
  • Exploratory Data Analysis (EDA): Understand the data distributions and relationships.
  • Visualizations: Generate histograms, boxplots, correlation heatmaps, and other charts.
  • Insights & Recommendations: Identify trends and patterns that impact student performance.

Technologies

  • Python
  • Libraries: Pandas, NumPy, Matplotlib, Seaborn
  • Google Colab for interactive analysis

How to Use

  1. Clone the repository:
https://github.com/Nadaalnajjar2015/Student-Performance-Analysis-Python