In today's data-driven landscape, the difference between slow analytics and lightning-fast insights often comes down to how efficiently you can transform raw data into meaningful summaries and optimize query performance.

This Short Course was created to help data analysts transform their SQL skills from writing basic queries to building production-ready, scalable data pipelines. By completing this course you'll be able to create parameterized SQL scripts for daily data materialization, systematically diagnose performance bottlenecks that slow down analytical workflows, and build automated data transformation pipelines that previously required senior engineering support—making you an indispensable asset to any data-driven organization. By the end of this course, you will be able to: Master creating parameterized SQL scripts for daily data materialization Systematically diagnose performance bottlenecks in analytical workflows Build repeatable ETL processes using advanced SQL techniques like CTEs and window functions Develop diagnostic expertise to interpret execution plans and optimize query performance through strategic indexing and query restructuring Confidently build automated data transformation pipelines and troubleshoot performance issues independently This course is unique because it empowers data analysts to master the critical skills of building repeatable ETL processes and developing diagnostic expertise that bridges the gap between basic SQL knowledge and production-level data engineering capabilities. To be successful in this course, you should have a background in basic SQL querying, fundamental database concepts, and experience working with data analysis workflows.