Powered Analysis

Founding Cohort

Ask the right questions and spot the hidden landmines in AI data analysis -- without code or math.

10 years teaching data at Top 50 Univs.

DP 140th

GW University

William & Mary

Nicky Bell, PhD

UPenn PhD, 2x built data teams from scratch, and current Chief of Staff

Founding Cohort Rate: $599. The lowest price this course will ever be offered at.<h2>Is This You?</h2><ul><li>You're a team of one expected to analyze and report data that shapes executive decisions.</li><li>You can build a spreadsheet, but you have no formal data training and don't see yourself as a "data person."</li><li>AI didn't take your data work away, but suddenly the room rewards a fluency you were never trained for.</li><li>You looked at other courses and they all wanted to teach you to code.</li></ul>This course teaches the judgment that makes AI-generated analysis trustworthy. You'll see blind spots, ask sharper questions, and become the operator the C-suite trusts when AI is on the agenda.Become the data person you never believed you could be.All without a single line of code or statistical formula.*****🎓 What You'll Get<ul><li>1:1 coaching — 30 minutes to map your organization's data challenges and leave with an actionable blueprint.</li><li>Live audits of real AI-generated outputs — submit a report from your own data and watch 2–3 anonymized examples get evaluated and rebuilt, live.</li><li>More than 7 hours of video + classroom instruction.</li><li>Early access to Circuit — Apply your new judgment with one click, free to Founding Cohort members.</li></ul>

Become the Data Person in the room, without code or math.

Spot the bias and hallucinations that AI can't catch itself.

Direct AI to produce analysis you can stand behind. 

Separate correlation from cause and suggest the right next move.

 Workshop your real AI-generated reports live with the cohort.

Compound your career as AI reshapes the org.

We'll take a first-principles approach to data analysis. You'll learn the mindset of a data person -- and the outputs will follow naturally.

Curiosity about the process of data analysis, not just outputs.

If you've used ChatGPT, Claude, or any LLM for simple tasks like summarizing notes, you're ready.

Basic familiarity with AI tools.

We'll provide datasets for examples, but you'll get more value applying these concepts to your own work.

Access to some data.

Operators, generalists, and teams of one who want to leverage the speed of AI for data analysis, but don't know how to trust the results.

Chiefs of Staff, BizOps leaders, and functional heads responsible for guiding data-driven decisions without a dedicated analyst counterpart.

Anyone who has ever said, "I'm not a data person." Data isn’t about code or math. Data is about judgment, and judgment can be learned.

Catch Three AI Analysis Errors -- Before You Run The Numbers

3x built data teams from scratch |  10 yrs teaching data at Top 50 univs.

Four criteria that separate good metrics from a misleading ones.

How to count what actually matters 💯

Recognize when data was collected in ways that quietly distort  answers and lead to wrong decisions.

Spot bias in your data that no math can fix 🕵️‍♀️

Three frameworks to know when the data is telling you the next right move for your org.

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Catch Three AI Analysis Errors -- Before You Run The Numbers