Scripting with Python and SQL for Data Engineering

Extract, Transform, Load: The Data Engineer's Workflow

Data engineers are the plumbers of analytics: they build the pipelines that move data from source systems to destinations where analysts can actually use it. This course teaches the two languages that do this work: Python (for orchestration and transformation logic) and SQL (for querying and moving data).

You'll learn to write efficient SQL that scales, script Python to automate repetitive tasks, and combine the two to build ETL workflows. The course focuses on practical patterns: how to extract data without overwhelming source systems, how to validate and clean it, and how to load it so downstream consumers can trust it.

By the end, you'll be able to build the pipelines that fuel data-driven organizations.