SQL Problem Solving: Data Wrangling and A/B Testing

Raw data is rarely clean, structured, or ready for analysis. To make reliable, data-driven decisions, you need the SQL skills to clean messy datasets, extract meaningful patterns, and analyze experiment results. This text-based course guides you from basic query writing to advanced SQL problem-solving. You will learn how to structure complex queries, audit data quality, and build analytical frameworks for business metrics and A/B testing without relying on external software. What you'll learn: - Understand foundational data structures, database schemas, and data quality validation techniques. - Wrangle messy, inconsistent datasets using advanced string manipulation, date formatting, and conditional logic. - Write efficient queries using Common Table Expressions (CTEs) and window functions for rolling metrics and trend analysis. - Analyze user behavior and event logs to reconstruct user journeys and funnels. - Evaluate A/B test performance by calculating statistical metrics and conversion rates directly in SQL. - Apply modern SQL best practices for query optimization, readability, and working with semi-structured JSON data. Starting with core data wrangling concepts and database structure fundamentals, the course transitions into advanced querying techniques and real-world analytical scenarios. You will progress through written explanations, practical query breakdowns, and realistic problem-solving exercises. This course is designed for aspiring data analysts, product managers, and business professionals who know basic SQL commands and want to solve complex, real-world data problems. No advanced mathematical or programming background is required. Start writing production-ready SQL and unlocking deeper data insights today.