SQL Data Analysis: Joins, Aggregations, and Subqueries

Data analysis relies heavily on the ability to combine and summarize information stored across different relational tables. Understanding how to query and transform raw data into structured insights is an essential skill for modern data professionals. Through clear written explanations and practical exercises, you will learn to construct relational queries, combine datasets using various JOIN types, and perform multi-level data aggregation. You will also discover how to simplify complex analytical workflows using subqueries, views, and common table expressions (CTEs). What you'll learn: • Understand core relational database terms, table relationships, and key SQL functions • Combine data from multiple sources using INNER, LEFT, RIGHT, and FULL JOIN operations • Aggregate and summarize data effectively using GROUP BY, HAVING, and set operations like UNION • Construct subqueries and Common Table Expressions (CTEs) to solve complex analytical questions • Create reusable database views to streamline repetitive queries and reporting • Apply modern data filtering and sorting practices to prepare clean datasets for analysis. The course starts with essential terminology and basic table querying principles before guiding you step-by-step through multi-table techniques and aggregation patterns. Designed specifically for beginners and aspiring data analysts, no prior database experience is required. Begin your journey toward SQL data proficiency today.