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
NULLIFfor 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 #
Loading SQL editor...
Tip
Define metric grain first (order, order_item, customer, month) before adding joins. This prevents fanout errors.