🎓 Students Performance Analysis

A comprehensive data analysis project that evaluates student academic performance using Python, Excel, and SQLite.

🔍 Key Insights:

• Best and Worst Performing Subjects
• Subject Popularity
• Gender-based Performance Trends
• Improved/Declined Students
• Class-level Weaknesses

📊 Tools Used:

• Python (pandas, matplotlib)
• Excel (functions, charts)
• SQLite (data storage)
• GitHub for version control

📁 Files Included:

• student_analysis.py: Python analysis script
• student_performance_analysis.xlsx: Raw + structured dataset
• student_performance.db: SQLite database
• images/: Charts generated from data

👤 Author

Chile Timothy Terungwa
GitHub: UniterInovar
LinkedIn: [View Profile](https://www.linkedin.com/in/chile-timothy-25543122b