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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Content

8. Practice

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Suggested Activities

• Loading a CSV file, exploring it with head/describe/info
• Filtering and grouping: "How many sales per region?" type queries
• Data cleaning: handling missing values, fixing data types
• Joining datasets: combining customer and purchase data
• Time-based analysis: aggregating by date, calculating moving averages
• Reshaping exercises: pivoting and melting datasets
• Writing outputs: exporting to CSV, Parquet intro, and SQLite
• Hands-on challenge: "Take raw data, clean it, aggregate it, write results"
• Performance optimization: comparing vectorized vs non-vectorized code

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