Student Data Wrangling Project

Overview

This project focuses on cleaning, transforming, and analyzing student grade and tuition datasets using Python libraries such as Pandas.

The project includes:

• Handling missing values
• Removing duplicate records
• Creating new columns using conditions
• Merging datasets
• Grouping and analyzing data
• Exporting cleaned datasets to CSV and Excel

Tools Used

• Python
• Pandas
• Jupyter Notebook
• Excel

Files Included

• student_data_wrangling.ipynb
• grades.csv
• tuition.xlsx
• output1.csv
• output1.xlsx

Key Operations Performed

• Data cleaning
• Duplicate detection and removal
• Missing value handling
• Conditional column creation
• Dataset merging
• Grouping and aggregation
• Sorting and filtering
• Data export