Cohorts
Hands-on labs for people doing real analysis work.
These are not passive courses. Participants bring real work, learn the method, use AI with discipline, and leave with cleaner analysis managers can use.
Primary launch offer
Excel Systems Lab
For analysts, finance teams, FP&A, RevOps, Sales Ops, operations, and managers who live in recurring Excel reports, forecasts, variance analysis, dashboards, and board support files.
The lab helps participants build cleaner, more reliable Excel analysis systems with AI support, so they leave with real work they can use, not just notes from a class.
| Option | Launch anchor |
|---|---|
| Individual founding seat | $1,495 |
| Team 3-pack | $3,750 |
| Team 5-pack | $5,750 |
Because this is not a passive video course, founding seats are limited. Participants bring real work and receive direct review around the method.
Confirm final dates, refund rules, and checkout before paid traffic.
Best fit
- Smart analysts living in Excel
- Recurring reports that are hard to review
- Workbooks that are fragile or overbuilt
- AI use that needs a safer system
- Managers who need clearer outputs from the team
Expensing this to your company?
Use this simple approval case with your manager:
- This lab improves recurring Excel, dashboard, reporting, and AI-analysis workflows.
- The outcome is cleaner analysis leaders can use, not generic software training.
- Participants work on real business analysis, not toy examples.
- The cost is lower than one failed reporting cycle, rework loop, or bad dashboard decision.
Next lab
Business Science Project Lab
For analysts and business people who need to turn messy business questions into finished analysis, stronger charts, tested explanations, and a decision packet their manager can actually use.
Participants bring one real business question and work through the method.
| Option | Launch anchor |
|---|---|
| Individual founding seat | $2,500 |
| Team 3-pack | $6,500 |
| Private company cohort | From $15,000 |
Project outputs
- Business Question Brief
- Source Data Inventory
- Data Quality Checklist
- Clean analysis table
- Charts and tested explanations
- Decision packet
- Monitoring plan
Format
Teach. Review. Improve.
Teaching
Practical lessons tied to real analysis work.
Review
Selected participant work reviewed for the group.
Output
Participants leave with better artifacts and repeatable habits.
Built from years of Tableau, business intelligence, forecasting, SAS, and enterprise analytics teaching and implementation, including the Accidental Analyst framework reaching the Tableau keynote stage with Pat Hanrahan.
Proof
Why this is not generic training.
Book-based method
The cohort structure is rooted in The Accidental Analyst framework, not a generic AI prompt course.
Visual analysis roots
Rapid Graphs with Tableau and the Tableau keynote context connect the offer to real analysis communication.
Case-note patterns
ARR dashboards, LTV/CAC, forecasts, and cohort retention failures become concrete lessons participants can recognize in their own work.
Why AI changes the training problem
AI can generate outputs. It cannot replace business judgment.
The original Accidental Analyst framework taught people how to think through analysis. The AI-era labs teach analysts how to direct AI inside that framework: clarify the question, check the data, clean the workflow, test the explanation, and communicate a decision.
We do not teach prompt tricks.
We teach analysts how to use AI to build things that matter: cleaner tables, stronger checks, better charts, clearer explanations, and decision packets leaders can act on.