For an instructor lead, in-depth look at learning SQL click below.
Learning SQL is a crucial skill for anyone pursuing a career in data analysis or data engineering. It’s the standard language for interacting with databases, and knowing how to write, read, and debug SQL can make your life significantly easier. Here are 10 high-quality SQL courses that will give you a strong foundation in SQL and help prepare you for a career in data engineering:
1. SQL for Data Science by University of California (Coursera)
This course does an excellent job of starting from the basics and gradually building up to more advanced topics. The pacing is perfect for beginners, and the course contains numerous practical exercises that let you experience writing and debugging SQL in a real-world setting.
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-- Sample SQL code SELECT * FROM Students WHERE grade > 90 |
2. SQL Basics (Codecademy)
Codecademy’s SQL Basics course is an interactive, hands-on course that teaches SQL through practice. The course covers everything from basic SELECT statements to complex JOINs.
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-- Sample SQL code SELECT name FROM Customers INNER JOIN Orders ON Customers.id = Orders.customer_id |
3. SQL Certification (Stanford University)
Stanford’s SQL certification course offers a deep dive into SQL, covering not just the basics but also more advanced topics like indexing, transactions, and database architecture.
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-- Sample SQL code CREATE INDEX idx_orders_customer_id ON Orders (customer_id) |
4. SQL for Beginners (Udemy)
This course is perfect for those with no prior experience in SQL. It covers everything from installing an SQL server to writing complex queries. The course has plenty of practice exercises to reinforce the concepts taught.
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-- Sample SQL code INSERT INTO Customers (name, email) VALUES ('John Doe', <a href="mailto:'johndoe@example.com'" >'johndoe@example.com'</a>) |
5. SQL Essentials (DataCamp)
This course contains an assortment of valuable SQL lessons ranging from the basics to more advanced topics. It has an intuitive curriculum designed to make learning SQL as easy as possible.
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-- Sample SQL code UPDATE Customers SET email = <a href="mailto:'newemail@example.com'" >'newemail@example.com'</a> WHERE name = 'John Doe' |
6. SQL Intermediate (LinkedIn Learning)
The SQL Intermediate course on LinkedIn Learning is perfect for individuals who have a basic understanding of SQL and are looking to improve further. The course covers topics, such as subqueries, stored procedures, and error handling.
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-- Sample SQL code SELECT * FROM Customers WHERE id IN (SELECT customer_id FROM Orders WHERE total > 100) |
7. SQL Advanced (EdX)
EdX’s SQL Advanced course targets individuals who already have a solid grasp of SQL basics. It delves deeper into more complex aspects of SQL, covering topics like data warehousing, SQL tuning, and window functions.
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-- Sample SQL code SELECT name, SUM(total) OVER (PARTITION BY name ORDER BY date) AS running_total FROM Orders |
8. Learn SQL the Hard Way (Zed Shaw)
Zed Shaw’s Learn SQL the Hard Way is a text-based course that’s targeted towards people who want to learn SQL from scratch. This course not only includes extensive SQL exercises but also provides explanations in simple language that makes it easy for beginners.
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-- Sample SQL code DELETE FROM Customers WHERE id NOT IN (SELECT customer_id FROM Orders) |
9. Master SQL for Data Science (Udemy)
This course goes beyond the basics and delves deep into SQL topics that are important for data scientists, such as regular expressions, window functions, and recursive queries.
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-- Sample SQL code WITH RECURSIVE temp AS ( SELECT 1 AS value UNION ALL SELECT value + 1 FROM temp WHERE value < 100 ) SELECT * FROM temp |
10. Hands-on SQL for Data Analytics (LinkedIn Learning)
Hands-on SQL for Data Analytics on LinkedIn Learning completes our list. The course is perfect for solidifying your SQL knowledge, thanks to its numerous exercises and quizzes.
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-- Sample SQL code SELECT AVG(total) FROM Orders GROUP BY customer_id |
SQL skills are in high demand in the job market, and the courses listed above will provide the knowledge, practice, and confidence you need to meet this demand. As always, the most important thing is to practice regularly and to not be afraid of making mistakes. Happy coding!