Performance Analysis Dashboard Using Power BI

This project presents an interactive dashboard designed to analyze student performance across multiple dimensions using Power BI. The dashboard provides clear insights into key academic metrics such as GPA, success rate, and student distribution.

It includes visualizations that highlight:

Average GPA across different departments (e.g., Engineering, Business, Psychology)

Comparison of GPA by gender

Relationship between GPA and number of semesters attended

Distribution of course performance indicators (Count A, B, C)

Impact of number of unique courses taken on success rate

GPA trends across different academic programs and degree levels

The dashboard also integrates dynamic filters (slicers) such as enrollment year, gender, department, and degree level, allowing users to explore the data interactively and uncover meaningful patterns.

Overall, this project helps in identifying performance trends, comparing academic outcomes, and supporting data-driven decision-making in educational environments.