Product Data Science
Advanced26 hours7 sections26 lessonsRated 4.7 out of 5 from 11 ratings
Practice product data science through metrics, experiments, model interpretation, and SQL. Worked examples show how to check assumptions, explain uncertainty, and connect an analysis to a product decision.
What you will be able to do
- Turn ambiguous product questions into testable decision frameworks.
- Design metrics with clear incentives and guardrails.
- Communicate product recommendations with evidence and uncertainty.
Who this course is for
Data scientists preparing for product cases, metric design, and cross-functional decision interviews.
Helpful to know first
- Basic statistics and familiarity with product analytics.
Course content
7 sections 26 lessons 26 hours
Define metrics for a product decision, check their denominators and time windows, and investigate changes without confusing a metric with the outcome it represents.
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Rated 4.7 out of 5 from 11 ratings
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