The Accidental Analyst — Decision-grade analytics in the age of AI

Most analytics work gets ignored. AI is making output faster, not better—so the risk is confident mistakes and “dashboard theater.” This program installs a decision-grade workflow so your analysis survives scrutiny and actually gets used.

Three pillars (what you’re really buying)
Systems of Decision‑Grade Analytics (repeatable workflows) • Platform for Analytics Execution (portable or enterprise tooling) • Scientific Method for Business applied to real business problems.
COHORT #1 SYLLABUS

Expert Data Analysis in the Age of AI Beyond the Prompt

A 6-week premium cohort on decision-grade analytical workflow: choose the right questions, get the right data, validate it, build exact analysis, and communicate results that leaders can act on.

6 weeks 4–6 hours / week Weekly live clinics Capstone Decision Packet

How the cohort runs (weekly timing)

Designed for working professionals. One applied artifact per week.

What you watch (async)

  • Core Theory: 35–50 minutes
  • AI Companion: 15–25 minutes
  • Templates: 1–3 checklists/worksheets
  • Total async: 60–90 minutes/week

What you do live

  • Live Clinic: 90 minutes (hot seats + reviews)
  • Optional Office Hour: 45–60 minutes
  • Work time: 2–4 hours applying to your project
  • Total commitment: ~4–6 hours/week

Who it is for

  • Analysts, senior analysts, and BI professionals
  • Analytics, RevOps, FP&A, product, and insights teams
  • Managers who want decision-grade, reusable workflows

What you will leave with

  • A complete capstone Decision Packet on a real project
  • Question framing, QA, analysis, and communication templates
  • A repeatable workflow for using AI without false confidence

Weekly structure

Each week includes: Core Theory, an AI Companion, templates/checklists, and a Live Clinic.

Implementation lanes (included) + browser fallback
The workflow is the product. Tools are the vehicle. Choose the lane that fits your environment:
Operator lane: DuckDB + VS Code + Python
Enterprise lane: Snowflake + Tableau
Browser fallback (no-install): Google Colab or Hex.tech if corporate IT blocks installs.
Week 0
Environment setup (released immediately)
Choose a real project, define the decision, identify stakeholders, and set a success standard.
Week 1
Choosing questions that actually matter
Decision framing, question trees, hypotheses, and what “good enough evidence” means.
Week 2
Collect, check, and clean data
Data inventory, source ownership, definitions, QA checks, cleaning logic, and assumptions logs.
Week 3
Build exact analysis
Specs, cohorts, exclusions, sensitivity checks, and the difference between analysis and output theater.
Week 4
Visualize and communicate
Choose the right chart, table, or dashboard; frame the recommendation; communicate caveats clearly.
Week 5
Executive presentation clinic
Present your packet, get feedback, and sharpen the message for decision-makers.
Week 6
Monitoring + beyond analysis
Define follow-through metrics, monitoring logic, and when to escalate into forecasting, experimentation, causal, or ML methods.

Included templates

Question & decision

Decision framing worksheet, question tree, stakeholder map, threshold and timeframe definitions.

Data & QA

Data inventory, source ownership map, QA checklist, assumptions log, and cleaning decision record.

Analysis & communication

Analysis spec, visualization decision tree, executive narrative structure, and Decision Packet deck template.

Standard vs Pro

IncludedStandardPro (capped)
6-week cohort + curriculum
Core Theory + AI Companion weekly
Weekly Live Clinic
Templates + checklists
Capstone Decision Packet
Deep async artifact reviews (2 total)
Priority Q&A queue
Seat availability50 founding seats8 seats max

Pro reviews are scoped to (1) your analysis spec/QA plan and (2) your final Decision Packet—high signal, no unlimited consulting.

Guarantee & policies

Designed to remove purchasing friction for individuals and teams.

7-day refund + one-time transfer
7-day refund window from cohort start. If you can’t attend, you may transfer once to the next cohort. If you miss a clinic, replays are provided.