SQL for Product Analytics: Metrics, Funnels, and Segmentation

To make impactful product decisions, you need to extract the right insights from your database. General database tutorials often teach syntax without context, leaving you unsure how to solve real-world business questions. This text-based course bridges that gap by focusing strictly on SQL for product analytics. You will learn to transform raw transactional and event data into actionable metrics, map user journeys, and identify growth opportunities using modern SQL techniques. What you'll learn: Understand foundational SQL syntax, database structures, and relational data concepts; Calculate essential product metrics like retention rate, churn, LTV, and active users; Build conversion funnels using Common Table Expressions to identify where users drop off; Segment users based on behavior and engagement levels using advanced window functions; Query semi-structured JSON data commonly found in modern event-tracking systems; Analyze user cohorts over time to evaluate product updates and feature adoption. The course starts with essential database terminology and core concepts before guiding you through step-by-step query construction. You will study practical scenarios and analyze written code examples designed to mirror real product challenges. This course is designed for aspiring product analysts, product managers, and marketers who want to learn SQL from scratch with no prior programming experience. Start reading today to unlock the power of data-driven product development.