This repository contains my complete learning journey of Pandas for Data Science, including fundamentals, advanced concepts, hands-on practice, and real dataset analysis.
I built this repository while preparing myself for a Data Analyst / Data Scientist career path.
- Series & DataFrame
- DataFrame Creation (List, Dict, NumPy)
- Data Loading & Saving (CSV)
- Data Selection (loc / iloc)
- Filtering & Conditional Selection
- Apply / Map / Lambda
- Missing Values Handling
- Date & Time Handling
- GroupBy & Aggregation
- Value Counts
- Crosstab
- Pivot Tables
- Merge
- Join
- Concat