SQL for Data Analysis: Master JOINs, Subqueries, and Aggregations

Ready to move beyond basic SELECT statements and start solving real-world analytical problems? To extract truly valuable insights, you must know how to connect disparate data sources and perform deep calculations. This text-only course bridges the gap between basic database syntax and practical data analysis. You will learn to write sophisticated queries that aggregate data, join multiple tables, and nest queries efficiently, transforming raw database tables into structured, actionable business reports. What you'll learn: Master multi-table JOINs to merge and analyze data from different sources; Aggregate complex datasets using GROUP BY and HAVING clauses for summarization; Write powerful subqueries and nested statements to solve multi-step data problems; Implement Common Table Expressions (CTEs) to write clean, readable, and modular SQL code; Apply essential window functions for advanced analytical ranking and running totals; Optimize query performance by understanding execution order and database structures. The course starts with a quick refresher on foundational terminology before diving into hands-on written walkthroughs. You will progress from basic table relationships to advanced query structures through clear explanations and structured SQL code examples. This course is designed for learners who already know basic SQL commands and want to build the practical skills needed for data analysis, business intelligence, or reporting roles. Start reading today and elevate your database querying skills to a professional standard.