Wed, Jul 22, 2026
4:30 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
Wed, Jul 22, 2026
4:30 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
What you'll learn
Frame the right problem
Turn a vague analysis request into a clear decision, success criteria, scope, and metric question
Decide what to trust
Choose the right definition, test whether the evidence holds, and know when AI should continue, stop, or ask for review
Turn analysis into impact
Translate findings into a recommendation people can act on, then document the result
Why this topic matters
AI can draft SQL, clean data, build charts, and summarize results. That puts more weight on the judgment behind the work. In this lesson, you’ll compare three AI analysts answering the same business question and build an AI Delegation Map for one recurring metric question. You’ll see what to offload, where to work with AI, and what you still need to own.
You'll learn from
Paras Doshi
Head of Data (Amazon, Opendoor)
Previously at
