📊 Data Science Course – Pandas Library Exercises

This repository contains a collection of practical exercises and case studies using the Pandas library. It includes a wide range of hands-on tasks, such as:

• Importing and exporting large datasets
• Creating Series and DataFrame objects
• Performing various calculations on data
• Data processing: merging, slicing, filtering, and handling missing values
• Running SQL-like queries on datasets
• Creating visualizations and charts using libraries such as Matplotlib, Seaborn, and more

This is a great resource for anyone learning data analysis in Python using the Pandas ecosystem.