Student Grades Analysis

The goal of this competition is to analyze student performance data and uncover

insights that can help improve academic outcomes. Students are required to clean

the data, analyze trends, visualize findings, and derive actionable insights.

Implementation in Steps:

Step 1: Load the dataset and explore its structure.

Step 2: Handle missing values and perform basic data cleaning.

Step 3: Conduct exploratory data analysis (EDA) using visualizations.

Step 4: Identify correlations and patterns in student performance.

Step 5: Present findings in a well-structured report.