Курс от CourseraDevelop a strong foundation in retrieving, combining, and interpreting data through this comprehensive course on the Foundations of Data Extraction with SQL. You’ll learn how to apply essential SQL techniques including DML commands, joins, nested queries, and ad-hoc analysis to answer real business questions. You’ll also explore how data warehouses function within business intelligence ecosystems, practicing how to query fact and dimension tables and extract data efficiently from structured sources. As you progress, you’ll deepen your understanding of how SQL powers dashboards, metrics, and performance-driven insights across modern data environments. This course brings together expertise from Meta, IBM, and Google, giving you exposure to multiple SQL tools, data architectures, and industry practices. You’ll build from MySQL fundamentals to advanced query techniques, business metric calculations, and cross-system data extraction. You’ll also gain context on BI visualization, database performance, and the role of data warehouses in enterprise analytics. Ideal for aspiring data analysts, BI developers, and data professionals who want to confidently extract and prepare data for analysis, this course delivers both conceptual clarity and practical SQL experience across diverse real-world scenarios.
8 модулей · 35 учебных материалов

Преподаватель курса