Learning Outcome

By completing this project, you have learned how to:

• Load and work with real-world student performance datasets using pandas
• Inspect and understand dataset structure, columns, and data types
• Handle missing values and prepare data for analysis
• Create new calculated columns such as performance change
• Group and aggregate student data for analysis
• Perform exploratory data analysis (EDA) to identify trends and relationships
• Visualize insights using line charts, bar charts, and heatmaps
• Interpret how attendance, study hours, and other factors influence exam scores

This project strengthens your foundation in practical data analysis and educational performance reporting.