Practical Data Analysis for the Modern Professional

You're an expert in your domain. You're trusted by the leadership team. You can navigate a spreadsheet. But you never learned how to think about data.

This course is about learning to ask the right questions about any data analysis - no coding or statistics required. And you'll learn how to use ChatGPT and Claude as your assistant in getting the right answers, every time.

AI can do the math, but you bring the judgment.
Format

Online
Course

Learn

At Your Own Pace

Total Time

1 hr 40 min

Taught By

Nicky Bell, PhD

2x first data hire | UPenn prof.
Trusted by students at

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Limited time only - start the course for free!
The first five lessons are completely free until August 24th. That's over an hour of content.
And if you enjoy the course, you can purchase two bonus lessons for just $19.

About the Course

I've spent more than a decade teaching data analysis to high-performing operators. What I discovered is that becoming comfortable with data isn't about the technology or the tools - it's about judgment, and you can learn judgment.

No code, no math

Other courses want to teach you to become a coder. This course teaches you to think like a data analyst by asking the right questions and challenging core assumptions. Add expert data judgment to your skillset.

Real-world applications

Are you a business leader using data to make decisions? A solopreneur analyzing data on your own? An operator without an analyst to lean on? This courses will teach you from real, actionable business cases.

Designed for the AI Era

You'll learn how to use AI as your partner in uncovering the hidden landmines - and the hidden gems - in your data. Avoid hallucinations and preserve your credibility and trust in the room.

Course Lessons

Your instructor

Nicky Bell, PhD

I started Powered Analysis after a decade of working inside companies where using the wrong data had real consequences. At Clairity, I wrote the statistics that led to the first FDA approval of AI to predict breast cancer risk. At FlagshipRTL, I helped growing retail brands get accurate, timely demand forecasts, because every out-of-stock unit is lost revenue. And at Keywell, I transformed a boutique consultancy into an AI product company that delivers better health care to patients across the country.

Across those roles, the pattern was always the same: the technical work was rarely the hard part. The hard part was helping non-technical leaders read what the data was actually saying — and trust their own read enough to push back when something was off. Practical Data Analysis for the Modern Professional is the course built from that lesson.
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