Each path drops you into a different industry with its own database, stakeholders, and messy-data traps. Pick one to start, or try them all — your progress carries over between paths when you’re signed in.
4 paths · 100 missions · Free, browser-based
📊Beginner → Master
Marketing Analytics
Query a realistic marketing database with planted data quality issues, get graduated feedback from a 5-tier validation engine, and build the instincts that separate junior analysts from senior ones.
25 missions|5 tables
Real-World Scenarios — Solve marketing analytics problems from fictional managers, just like a real job.
Messy Data — Work with NULLs, duplicates, inconsistent formats, and refunds — the stuff tutorials skip.
Instant Feedback — 5-tier validation engine compares your results against multiple accepted approaches.
Query a company operations database, build executive-ready reports, master window functions, investigate data quality issues, and learn to think like a BI analyst who never ships a wrong number.
25 missions|5 tables
Executive Stakeholders — Answer questions from the CFO, VP of Sales, Head of Product, CEO, and department leads — each with different expectations.
Hidden Data Traps — Trailing spaces, ghost regions, inactive employees, and category casing issues that break dashboards.
BI-Specific Skills — Window functions, YoY comparisons, moving averages, cohort analysis, self-joins, correlated subqueries, and full data audits.
Query a hospital operations database with planted EHR data quality issues, build CMS-ready reports, and learn to think like a healthcare data analyst who never ships a wrong metric.
25 missions|5 tables
Real Hospital Scenarios — Answer questions from the CMO, VP of Operations, and CEO about readmissions, wait times, and patient outcomes.
EHR Data Quality Issues — Duplicate patients, inconsistent department names, mixed date formats, and bad values that silently break your analysis.
Healthcare-Specific Skills — Readmission rates, length of stay, ED throughput, utilization, CMS methodology, and age bucketing from DOB.
Query a company ledger with planted reconciliation issues, build board-ready P&L and budget reports, master window functions over time series, and learn to think like a finance analyst who never ships a wrong number to the CFO.
25 missions|5 tables
Real Finance Scenarios — Answer questions from the CFO, Controller, FP&A Manager, Treasury Analyst, and Senior Auditor about spend, budget, vendor risk, and revenue.
Messy Ledger Data — Duplicate vendors, un-posted journal entries, inconsistent account-type casing, refund leakage, and duplicate payments that quietly wreck your totals.