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Use a runnable synthetic dataset to practice metrics, funnels, retention, repeat purchase, and anomaly diagnosis, with the goal of independently completing a growth dashboard and analysis portfolio.
Who it is for
For operations-to-data switchers, business analytics graduates, and candidates strengthening SQL and diagnosis skills.
Self-guided target
Independently complete 20+ SQL queries, a metric dictionary, a simulated growth dashboard, and two diagnostic reports; human review is not included.
Execution plan
Understand business goals, metric definitions, data sources, and common deliverables.
Deliverable: Role gap list and metric definition table
Run funnel, retention, channel, and repeat-purchase analysis on a runnable synthetic dataset.
Deliverable: 20+ runnable SQL queries with findings
Build the full loop from tracking and metric trees to thresholds and actions.
Deliverable: Tracking plan, metric tree, and dashboard prototype
Validate causes across definitions, pipelines, segments, and external events, then propose mitigation.
Deliverable: Anomaly report and ten-minute presentation
Turn SQL into evidence of business judgment and independently complete three case-practice cycles.
Deliverable: Analysis portfolio and before/after answers
Complete the free ten-question, non-standardized self-assessment, then use the result as a reference when choosing a starting phase.
Start free self-assessmentGet project and resource credits