SQL for Data Analysis taught you to get answers out of a database. This course teaches you to get answers you can defend. Back at Harbourline Freight, you'll catch the NULL, integer-division and NOT IN traps that silently give wrong numbers, handle dates and fill missing periods with a calendar, and check a database before you trust it. Then you'll go deeper into window functions (frames, moving averages, LAG and LEAD), return the top rows per group, build cohort and retention tables, compare periods like for like, walk hierarchies with recursive CTEs, read query plans and write queries that stay fast on millions of rows. The course ends with the analyses companies ask for again and again: receivables aging, Pareto concentration and RFM segmentation, and a commercial health check for a board.