Using SQL for Data Analysis

This post details how to leverage SQL for data analysis, covering foundational commands (SELECT, WHERE, GROUP BY, HAVING, ORDER BY, JOIN, Subquery, CASE), more complex techniques (window functions, PARTITION_BY, CTEs, Correlated Subqueries, PIVOT), and performance optimization. It emphasizes the efficiency of performing data analysis directly within the database using SQL, reducing the need to pull large datasets into other languages like Python or R. It also touches upon the concept of stored procedures for implementing data analyses within databases.