Student Performance Analysis

Objective

Analyze student performance and identify factors affecting academic success.

Technologies Used

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn

Analysis Performed

• Data Cleaning
• Data Exploration
• Feature Engineering
• Factor Analysis
• At-Risk Student Segmentation

Visualizations

• Box Plot
• Bar Chart
• Correlation Heatmap
• Grouped Bar Chart
• Histogram
• Scatter Plot

Results

• Higher parental education is associated with better student performance.
• Test preparation significantly improves scores.
• Reading and Writing scores are strongly correlated.
• Female students perform better in language subjects.
• At-risk students were successfully identified for targeted intervention.