Python Essentials for Data Analytics
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ASSIGNMENT: Pandas Module

Complete a final pandas assignment that combines merging and aggregation. Your submission should include: merging two or more DataFrames using merge/join, groupby operations with multiple aggregation functions (sum, mean, count), creating pivot tables or cross-tabulations, and at least one visualization using pandas plot. Summarize your findings in markdown cells.

32 minutesProject submission
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Assignment Instructions

Pandas Master Workbook: 50 Questions

The ultimate practice file covering Grouping, Merging, Cleaning, and Analysis.

This 50-question challenge is designed to test your ability to chain Pandas operations together. It focuses heavily on the powerful GroupBy and Merge functionalities while keeping your basic skills sharp.

  • Group By & Aggregations
  • Merging, Joining & Concatenating
  • Advanced Filtering Logic
  • Missing Data Strategies
  • Pivot Tables & Apply Functions
  • End-to-End Data Workflows
Download Notebook Requires Jupyter Notebook or Use Google Collab
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