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Product Analytics for Prioritization & Data-Driven Decisions
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.
Duration
3 Months
Institution
Coursera
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Coursera.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$303
Total Est. Investment
$303
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Product Analytics for Prioritization & Data-Driven Decisions program at Coursera are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.