Write useful SQL from your first lesson.
Build a reliable mental model for relational data, then use SELECT, filtering, aggregation, and JOINs to answer real questions in a live SQL editor.
What you will leave with
By the end, you can inspect a relational schema and write multi-table queries without treating SQL as memorized syntax.
What you will be able to do
The curriculum is organized around these 4 practical outcomes.
Read a relational schema and follow keys between tables
Filter, sort, and calculate values with SQL expressions
Summarize data with GROUP BY and aggregate functions
Join related tables and validate the resulting rows
Course map
Curriculum
Open a module to inspect every section before you start. Your progress follows you through the course.
What is a Relational Database?, Tables, Rows, and Columns, Understanding Data Types, and more.
Your First Query: SELECT & FROM, Filtering with WHERE, Combining Filters: AND, OR, NOT, and more.
Aggregate Functions: COUNT, SUM, AVG, Grouping Data with GROUP BY, Filtering Groups with HAVING.
INNER JOIN, LEFT JOIN, RIGHT JOIN & FULL OUTER JOIN, and more.
Who this course is for
Start with the background you have. The prerequisite notes above tell you exactly what is assumed.
Complete SQL beginners
Spreadsheet users moving into analytics
Analysts who want a stronger query foundation
Continue learning
Each course stands on its own. Pick the one closest to the next task you need to handle.
Turn complex business logic into readable SQL.
Master SQL analytics without collapsing rows.
Learn to read, reason about, and write Python.
Start the course
Module 1 introduces the language and example used throughout the rest of the course.
