SQLZoo
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Interactive SQL tutorials and exercises.
More resources on Relational Databases
Databases and SQL for Data Science with Python
Working knowledge of SQL (or Structured Query Language) is a must for data professionals like Data Scientists, Data Analysts and Data Engineers. Much of the world's data resides in databases. SQL is a powerful language used for communicating with and extracting data from databases. In this course you will learn SQL inside out- from the very basics of Select statements to advanced concepts like JOINs. You will: -write foundational SQL statements like: SELECT, INSERT, UPDATE, and DELETE -filter result sets, use WHERE, COUNT, DISTINCT, and LIMIT clauses -differentiate between DML & DDL -CREATE, ALTER, DROP and load tables -use string patterns and ranges; ORDER and GROUP result sets, and built-in database functions -build sub-queries and query data from multiple tables -access databases as a data scientist using Jupyter notebooks with SQL and Python -work with advanced concepts like Stored Procedures, Views, ACID Transactions, Inner & Outer JOINs through hands-on labs and projects You will practice building SQL queries, work with real databases on the Cloud, and use real data science tools. In the final project you’ll analyze multiple real-world datasets to demonstrate your skills.
Databases
Learn relational databases and SQL with this free course by Jennifer Widom. Master database concepts & query data effectively!
Introduction to Database Systems (15-445/645)
Learn relational database systems from Carnegie Mellon's Andy Pavlo. Explore core concepts and implementations!
PostgreSQL Tutorial
Official-like free tutorial site for Postgres.
Explain Extended
In-depth SQL query optimization articles.
DB-Fiddle
Online SQL fiddle for multiple RDBMS to test queries.