Student Performance Analysis

Tools Used

Project Overview

This project focused on analyzing student performance data from raw data to final insights. The process involved cleaning and preparing the dataset, fixing data quality issues and formatting inconsistencies, exploring the data, and presenting the results through an interactive dashboard.

The Problem

The raw dataset contained data quality issues and inconsistent formatting that needed to be addressed before the data could be analyzed and used to generate reliable insights.

My Approach

I cleaned and prepared the dataset by identifying and fixing errors, handling formatting inconsistencies, and preparing the data for analysis. I then explored the data using Python and created an interactive Excel dashboard to visualize key metrics and student performance insights.

The Outcome

The project resulted in a clean and structured dataset and an interactive dashboard that provides a clear overview of student performance, including key metrics, top-performing students, and performance across different courses.