SQL for Data Analysis: Joins, Aggregations, and Multi-Table Queries

Real-world data rarely lives in a single database table. To uncover valuable business insights, you must know how to link related tables and summarize large datasets efficiently.\n\nThis text-based course guides you from SQL basics to writing multi-table queries and performing complex data aggregations. You will learn to confidently write queries that join tables, group records, and calculate key business metrics, preparing you for real-world data analysis tasks.\n\nWhat you'll learn:\n- Understand core relational database concepts, primary keys, and foreign keys.\n- Master different types of SQL JOINs to combine data from multiple tables.\n- Apply aggregate functions like SUM, AVG, COUNT, MIN, and MAX to summarize datasets.\n- Group data using the GROUP BY clause and filter aggregated results with HAVING.\n- Write readable, modern SQL using Common Table Expressions (CTEs) for complex multi-table queries.\n- Optimize query performance when working with large volumes of joined data.\n\nYou will start by establishing a strong foundation in database relationships and key terminology. From there, you will progress step-by-step through practical written explanations and code examples, learning how to combine, group, and analyze data from multiple sources.\n\nThis course is designed for beginners who have a basic grasp of simple SELECT statements and want to level up their data analysis skills. No advanced programming experience is required.\n\nStart reading today to unlock the full analytical power of SQL and transform raw data into structured insights.