Student Marks Analysis System Project | Full PPT + Complete Python Code Walkthrough (NumPy + Pandas)

Welcome to this full end-to-end walkthrough of the Student Marks Analysis System, a complete Python-based data analysis project built using Pandas and NumPy.
In this video, I explain both the PPT presentation (10 slides) and the entire Python script line-by-line, making it perfect for:
✔️ College project submission
✔️ Viva / internal evaluation
✔️ Final year academic presentation
✔️ Python beginners learning data analysis
✔️ Teachers or institutions looking for automated mark analysis

🔍 What You Will Learn in This Video
🎓 PPT Explanation Covered


What the project is about

Problem definition and objectives
Dataset overview
Data preprocessing and cleaning
Missing value handling
Calculations: averages, totals, statistics
Class-wise performance analysis
Top performers
Outlier & at-risk student detection
Final results, visualizations, and report summary


💻 Code Walkthrough Covered

File handling (CSV/Excel loading)
Automatic sample dataset creation
Data cleaning (duplicates, NaN imputations, datatype checks)
Metrics computation using Pandas & NumPy
GroupBy analysis
Sorting & filtering for top performers
Statistical analysis
Visualization using matplotlib
Exporting results to the output folder
Final summary report


📁 Technologies Used

Python
Pandas
NumPy
Matplotlib (optional)


📤 Outputs Generated Automatically

Cleaned student marks file
Class-wise summary file
Top performers file
Visual charts (if matplotlib installed)
Printed statistical and performance report


If you want this code, report files, or explanation script, feel free to comment!
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