
IBM Data Engineering: Databases and SQL for Data Science with Python
Hands-on SQL practice with real-world use cases — from basic queries to joins, views, and transactions — integrated with Python and Jupyter for data science workflows.

Exploring SQL: Building a Foundation in Data
Structured Query Language (SQL) is an essential tool for any data-driven project. In this post, I share my experience with the SQL course by Luke Barousse, covering everything from basic queries to advanced concepts like CTEs and subqueries. I also explain how I plan to apply these new skills in real-world SQL projects at work.