This is the repository for the LinkedIn Learning course Intermediate SQL for Data Scientists. The full course is available from LinkedIn Learning.
Organizations are increasingly adopting digital transformation strategies that lead to greater data generation and, as a result, a greater need for data analysis. This course is designed for analysts and data scientists who work with SQL databases. Instructor Dan Sullivan outlines how to perform common data science tasks, including finding, exploring, and extracting data within relational databases. Explore the basics of using aggregates, statistical functions, window operations, regular expressions, and subqueries. Along the way, learn how to use JSON, a semistructured data type, and perform join operations to enable more complex queries.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out “Using GitHub Codespaces" with this course to learn how to get started.
Dan Sullivan
Data Architect, Author, and Instructor
Check out my other courses on LinkedIn Learning.