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Learn SQL

Learn the fundamentals of Structured Query Language (SQL), the most popular way to interact with databases like MySQL, PostgreSQL, and SQLite.

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Lane

Author

Lane is a back-end engineer and the lead instructor of Boot.dev. He has taught over one million students worldwide, on Boot.dev, FreeCodeCamp, YouTube and the Backend Banter podcast. Lane worked as a backend engineer writing Go, Python and TypeScript, then moved into engineering management and a couple of years later left to build Boot.dev full-time.

Allan

Maintainer

Sarah

Maintainer

Matt

Maintainer

Hunter

Maintainer

Learn SQL

Learn all the basics of Structured Query Language in this comprehensive SQL course. You will build out real database tables and practice querying them in flexible ways right in your browser. Not only will you understand how to use SQL, but you will also learn when you should use it and in what situations. We will cover architectural design patterns and how to use SQL in a production environment.

30 Hours

of interactive content

132 Addicting

lessons and quizzes

Earn a certificate

of completion

A key part of

the back-end track

Avoid tutorial hell

by writing a ton of code

Learn online

to not interrupt life

Chapter List

1
Introduction
Learn about the basics of SQL and how it came to be
2
Tables
Create new tables and learn how to structure data efficiently
3
Constraints
Learn how to keep data accurate and up to date
4
CRUD
Create, read, update and delete information from a SQL database
5
Basic Queries
Practice additional clauses and features that SQL offers for more flexible querying
6
Structuring
Learn how to order and limit the data returned in large query sets
7
Aggregations
Learn how to run powerful calculations on entire datasets
8
Subqueries
Practice the advanced technique of nesting queries inside one another
9
Normalization
Learn how to normalize a database in order to keep it's data consistent and accurate
10
Joins
Practice joining multiple tables together in order to power real world usecases
11
Performance
Learn how to keep databases running fast and efficient in production

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