Product Analytics for Prioritization & Data-Driven Decisions
Key Takeaways
Applies product analytics for prioritization and data-driven decisions using RICE scoring and conversion funnel analysis
Original Description
You'll develop expertise in transforming user behavior data into strategic product decisions through comprehensive analytics and prioritization frameworks. By completing this course, you'll gain the ability to design tracking systems, diagnose conversion funnel issues, and apply structured prioritization methods like RICE scoring to guide product roadmaps. You'll learn to analyze churn patterns, create success criteria for new features, and build predictive models to forecast product impact.
This hands-on course uniquely combines technical analytics skills with strategic business thinking, teaching you to communicate insights through compelling data stories using the Situation-Complication-Resolution framework.
You'll work with real-world scenarios involving user journey mapping, hypothesis-driven analysis, and model selection trade-offs between decision trees and logistic regression. Upon completion, you'll possess the comprehensive analytical toolkit needed for product management, growth analytics, and data-driven strategy roles where technical proficiency meets business impact.
Watch on External: Coursera ↗
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