Student Performance Analysis

A data analysis project that analyzes student performance data to identify trends, patterns, and insights using Python.

Features

• Data cleaning and preprocessing
• Student performance analysis
• Visualization of marks and scores
• Identification of trends and patterns
• Basic statistical analysis

Technologies Used

• Python
• Pandas
• NumPy
• Matplotlib

Concepts Used

• Data Analysis
• Data Cleaning
• Data Visualization
• Python Programming
• Statistical Analysis

How to Run

1. Install Python
2. Install required libraries:

pip install pandas numpy matplotlib

3. Run the program:

python student_performance_analysis.py

Sample Analysis

• Compared student scores in different subjects
• Identified high-performing and low-performing students
• Visualized performance trends using charts

Project Structure

student-performance-analysis/
│
├── student_performance_analysis.py
├── dataset.csv
├── README.md

Learning Outcome

This project helped me improve my understanding of:

• Data preprocessing
• Data visualization techniques
• Python libraries for analytics
• Extracting insights from datasets

Future Improvements

• Add interactive dashboards
• Use Power BI for visualization
• Implement machine learning prediction models
• Add more datasets for analysis