Master SQL.
Get hired faster.

Not a tutorial. A training program. Built around the SQL questions employers actually ask.

23 SQL skills · 200+ exercises · AI feedback · Free to start

Is this you?

Breaking in, moving up, or starting out — same problem, different starting points.

You've been trying to break into data for months. You get past the resume screen. Then the SQL test hits and it's over.

You don't need more tutorials. You need to practice the way employers actually test.

LearnQL tells you exactly which skills to learn, in what order, and tests you the same way an interviewer will.

Learn. Prove it. Move on.

The gap between 'I know SQL' and 'I can prove it' closes in three steps.

1

Learn

Real exercises on purpose-built datasets. Music streaming. E-commerce. Football stats. Data that has a story.

2

Prove it

Same skill, fresh dataset. No hints, no AI. If you can do it here, you can do it in the interview.

3

Move on

Pass and unlock the next skill. 23 topics. Each one tied to a job title you're trying to reach.

What you'll learn

23 SQL skills across 6 topics. Each one unlocks a new tier of roles.

Foundations

The core of every SQL query — selecting columns, filtering rows, sorting results, and handling missing data.

Aggregation

Summarizing data — counts, totals, averages — grouped by categories.

Functions

Transforming raw data — cleaning text, working with dates, and categorizing values into meaningful labels.

Joins

Combining data from multiple tables into a single result.

Advanced Queries

Writing queries that reference other queries, and performing calculations across rows without collapsing them.

Expert

Writing complex, maintainable queries — breaking logic into reusable steps, combining result sets, and solving advanced analytical problems.

Real datasets. Real explanations.

Practice that actually prepares you for the interview.

🗄️Real data

Built for the skill, not the lesson.

Six datasets, each built for a specific skill. The data has a story — so the queries do too.

🎵
Streamify
Music streaming platform
🛒
Shopflow
E-commerce orders
🎬
Cinescope
Movie database
Kickoff
Football season stats
💬
Threadr
Forum & comments
🌍
Worldview
Global economic indicators
🤖Real feedback

Not ✓ or ✗. A reason.

Wrong answers come with a reason, not just a red ✕. AI explains what went wrong and why — like a senior engineer in a code review.

Wrong query submitted
SELECT department, COUNT(*)
FROM employees
WHERE COUNT(*) > 5
GROUP BY department;
✕ Incorrect
You can't use COUNT(*) in a WHERE clause — that filters rows before grouping. Use HAVING to filter after aggregation.
Correct query
SELECT department, COUNT(*)
FROM employees
GROUP BY department
HAVING COUNT(*) > 5;
✓ Correct
HAVING filters after GROUP BY — exactly right. WHERE runs before grouping; HAVING runs after.

Free to start. Pay when you want more.

No subscriptions. No paywalls on the curriculum.

Free

$0forever

Everything you need to learn SQL.

  • Full curriculum — all 23 skills
  • All exercises, learn and test mode
  • 10 AI reviews included
Start free

AI Reviews

$5
50 reviews

Top up when you run out. One-time, no subscription.

  • AI explains exactly what went wrong
  • Never expires
  • Stack multiple packs
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