Project 3: The Business Analyst - GroupBy and Aggregation

Build a notebook that summarizes sales data with groupby and produces insight tables.

Quick Reference

Attribute Value
Difficulty Intermediate
Time Estimate Weekend
Language Python
Prerequisites Projects 1-2
Key Topics groupby, aggregation, reporting
Output Summary tables + charts

Learning Objectives

  1. Apply split-apply-combine with groupby.
  2. Compute multi-metric aggregations.
  3. Build time-based groupings.
  4. Communicate insights with charts.

The Core Question You’re Answering

“How do I summarize thousands of rows into actionable insights?”

Project Specification

Functional Requirements

  1. At least three groupby queries.
  2. Use .agg() for multiple metrics.
  3. One multi-level groupby.
  4. At least one chart.

Implementation Guide

Questions to Guide Your Design

  1. What is the primary KPI?
  2. Which dimensions matter most?
  3. How will you compare time periods?

Testing Strategy

  • Aggregations match manual checks.
  • Time grouping correct.

Extensions

  • Cohort analysis.
  • Segment-level reporting.

This guide was generated from LEARN_PANDAS_DEEP_DIVE.md. For the complete learning path, see the parent directory LEARN_PANDAS_DEEP_DIVE/README.md.