Week 4 - Data Processing with Pandas

Introduction to Pandas

DataFrame operations

Grouping and Aggregation

Joining and Merging

Different Data Types

Advanced Transformations

Writing Data

Alternatives to Pandas

Practice

Assignment

Gotchas & Pitfalls

• Teachers

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9. Assignment

Content coming soon...

Suggested Project Scope

• Take raw data (CSV or JSON files)
• Load into Pandas DataFrame
• Clean and validate: fix data types, handle missing values, remove duplicates
• Transform: aggregate, join, pivot, or other business logic
• Write results to CSV and SQLite (optional: try Parquet)
• Analysis: provide summary statistics, visualizations, insights
• Deliverables: clean code, documented transformations, output files, analysis report
• Requirements: handle at least 2 data sources, multiple transformation steps

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