AI Analytics for Everyone
Transform from consumer of analytics to independent operator, asking sharp questions, validating answers, shipping decisions.
What you build each week
Think like a product data scientist
Your VP Slacks you: "Checkout conversion dropped. Can you look into it?" Most people open a dashboard. You'll learn to ask the right questions first, turning vague requests into sharp, decision-forcing analysis.
Set up your AI analytical toolkit
Support tickets spiked. You investigate the same question three ways, in Claude Code, Hex, and Querio, and learn when each tool fits.
Metrics and root cause analysis
Checkout conversion dropped 20%. Three teams define "active user" differently.
Experimentation and causal thinking
Power users have 2x retention, but is that cause or correlation? You'll draw causal DAGs, design an A/B test for a checkout redesign, interpret mixed results, and learn what to do when you can't run an experiment at all.
Storytelling and influence
Great analysis gets ignored when you bury the insight on slide 23. You'll size a $900K opportunity, stress-test your assumptions, and build a 3-slide executive readout that gets the decision made.
What you get
Plan for 4-6 hours per week: ~3 hours of async lessons and ~1-2 hours of live workshops and exercises. Everything is recorded if you miss a session.
What students say
“The most valuable thing I took away was how to better structure my thinking as an analyst. The tools only get you so far but the thinking works no matter what tools come and go.”
“Despite being 14 years into the analytics field, I am glad I took this one. Opened up so many perspectives.”
“It's a good class for analytics professionals. It's like a masterclass for BI/DA/DS.”
“The course gave me a strong foundation in leveraging Claude Code for analytical workflows. It was engaging, challenging and just what I needed to set me on the right track.”
“Great class. Learned a lot and putting to actual use. Highly recommended.”
Your instructors
Ten or more seats get 30% off. Private cohorts run on your schedule. Maven issues an invoice you can expense, and we can send a short note for your manager on request.
Questions people ask before they enroll
Do I need to know SQL or Python?
No. This course teaches analytical thinking and decision-making, not coding. AI handles execution, you learn the judgment that AI cannot replace.
How much time per week?
Plan for 4-6 hours per week: ~3 hours of async lessons and ~1-2 hours of live workshops and exercises. Everything is recorded if you miss a session.
What if I fall behind?
All content stays available after the cohort ends. You also get lifetime access to recordings and materials. Many students finish at their own pace.
Is this relevant if I already have a data team?
Especially then. The goal is analytical independence, asking better questions, interpreting results confidently, and unblocking yourself instead of waiting in a queue.
What do I get at the end?
Five portfolio-ready artifacts (problem brief, published analysis, metric spec, experiment brief, executive readout), a full AI analyst toolkit, and a community of peers.