Product Analytics Fundamentals: Metrics, Cohorts, and A/B Testing

Every successful product relies on data to understand user behavior and drive growth. If you want to transition into product management, marketing, or data analysis, mastering product analytics is your essential first step. This comprehensive text-based course guides you from foundational definitions to advanced evaluation strategies. You will learn to identify key performance indicators, map out user journeys, and interpret experiment results to confidently make decisions that directly improve user engagement and retention. What you'll learn: - Understand core product analytics terminology, frameworks, and key performance indicators like LTV, CAC, and retention. - Apply event-based tracking models to map out user journeys and identify friction points. - Analyze user cohorts and behavioral segments to uncover patterns in user retention and churn. - Design and evaluate A/B tests using statistical principles to validate product changes. - Create clear data visualization structures and reports to communicate insights to stakeholders. The course begins with foundational concepts and essential terminology before moving into practical frameworks for cohort analysis, event tracking, and statistical experimentation. You will progress through written explanations, industry case studies, and practical exercises designed to build your analytical mindset. This course is designed for aspiring product analysts, product managers, marketers, and entrepreneurs who want to make data-driven decisions. No prior background in statistics or programming is required. Start reading today to unlock the power of product data and accelerate your career.