Practice

eCommerce Track Overview

This track simulates common retail analytics work from dataset exploration to KPI delivery.

You will practice:

  • revenue and order metrics
  • return-adjusted performance
  • customer repeat behavior
  • fanout-safe KPI modeling

Prerequisites #

  • joins and grouped aggregations
  • CTE basics
  • ratio calculations with NULLIF for safe denominators

Track Flow #

Milestones and Exit Criteria #

Milestone A: explore the dataset, pass the data quality audit, then pass all easy drills and at least one medium drill.
Milestone B: pass at least one hard drill, then complete the KPI assignments.
Milestone C: complete the RFM segmentation and funnel analysis, then finish the capstone with fanout-safe query logic.

Exit criteria:

  • pass at least 80% of graded checks across the audit, drills, assignments, segmentation, and funnel pages
  • complete capstone and explain your metric tradeoffs

Warm-up Query #

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Tip

Define metric grain first (order, order_item, customer, month) before adding joins. This prevents fanout errors.