SQL Courses

Your information passes through SQL databases every day, from your login information to the pictures you post on social media. Databases make data analytics possible, which is a critical component of the digital world. As a result, SQL skills like basic syntax, conditional filters, subqueries, and indexes are highly sought after by many top companies.

So how do you start⁠ learning this in-demand skill? We have you covered! Even if you already have experience working with databases, we offer intermediate SQL courses to take your skill to the next level. 

Data Scientist in Python Salary Increase

Those with SQL skills earn on avg. 101,293 p/year

Data Scientist in Python Job Openings

Over 215K new job postings for SQL as of May 2021.

Data Scientist In Python Job Growth

SQL is the 2nd in-demand programming language globally

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Career & Skill Paths

Data Analyst in R

Beginner friendly

Learn how to manipulate and analyze data.

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Data Analyst in Python

Beginner friendly

Learn how to manipulate and analyze data.

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Data Scientist in Python

Beginner friendly

Learn how to make inferences and predictions using data.

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Data Engineer

Beginner friendly

Learn how to build data pipelines to work with large datasets.

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SQL Fundamentals

Beginner friendly

Learn how to extract data from databases using SQL.

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We're always adding new content and would love to hear from you.

Benefits of Learning SQL

Why learn SQL? Learning SQL is more than just another checkmark on your resume. Here are some benefits you might not have considered:

  • Learn an in-demand skill for a competitive job market. Many employers prioritize applicants who have SQL skills, especially large companies that have mountains of data. SQL helps companies make insightful decisions from otherwise useless data.
  • SQL is a universal language. That means that you’ll lay the foundation for learning other programming languages. SQL overlaps with other disciplines, so when you decide to specialize, you’ll have a head start.
  • Honing SQL skills inspires longevity. SQL dates back to the 1970s, and it is now at the forefront of technological change. You may need to refresh your knowledge as things update, but SQL will always be useful in the data field.

How Do Our SQL Courses Work?

Our courses are hands-on. You’ll be writing code within minutes of beginning a Dataquest path. We’ve packed each path with practice problems to hone your skills and guided projects to fill out your portfolio.

Here’s a quick overview of how our SQL courses work:

  • You’ll choose the SQL path you are most interested in and begin the series of courses.
  • With each course, you will complete lessons wherein you will write real code. You'll answer practice problems along the way, allowing you to apply your newly learned skills.
  • At the end of each course, you'll complete a guided project to add to your portfolio and reinforce what you've learned.
  • Upon completion of each course, you'll receive a certificate to share with your professional network.
  • After completing all of the courses in the entire path, you'll have a comprehensive list of SQL skills.
  • At any time, you can redo practice problems and lessons if you want to review or keep your skills sharp.
  • Engage Dataquest’s active community of learners and mentors. Ask questions, get feedback on projects and resumes, and grow together.
  • At any time, you can redo practice problems and lessons if you want to review or keep your skills up to date.
Employees at the following companies have benefited from Dataquest courses:

Who Are These SQL Courses For?

These paths are for beginners, mid-career managers who want  to upskill and be able to make impactful organizational decisions as well as for those looking to transition their career into data science, data analytics or data engineering.

  • People who want a career in SQL development
  • Professionals who want to advance in their current data analysis position
  • Individuals who want to learn the fundamentals of SQL for personal gain
  • Anyone who wants to discover how to efficiently sort and filter data
  • Data science students who want to stand out and become job-ready
  • Those who want to make a profitable career switch
  • Business executives who want to organize their data to inform business decisions
  • Anyone who wants to learn a powerful data-querying language