SQL for Data Analytics

SQL for Data Analytics: Harness the power of SQL to extract insights from data, 3rd Edition teaches readers how to address analytical questions and draw insights from datasets using SQL. The text starts with forming hypotheses and generating descriptive statistics to examine existing information.

Coverage outlines the core data pipeline, showing how to clean, prepare, and combine records across multiple sources. The volume also examines statistical aggregations, specialized data formats, and methods for improving query efficiency.

Intended for data scientists, business analysts, database engineers moving into analytics, and backend engineers managing production data, the book concludes with a case study demonstrating how SQL uncovers insights.