Learn SQL Free in 30 Days
Query a real database with confidence: SELECT, WHERE, JOINs, GROUP BY, aggregates, and basic schema design.
SQL is one of the highest-return skills you can learn in a month, because it shows up in data, backend, and analyst jobs alike. This plan is 33 hours, about an hour a day. You start with Kaggle's hands-on intro to write queries in the first hour, then spend the bulk of the month in Harvard's CS50 SQL course, which goes past querying into how databases are actually designed. Thirty days here gets you from zero to writing the kind of JOINs and aggregates a real reporting task needs.
The daily math
This plan is 33 hours of free courses spread across 30 days. That works out to about 1.1 hours a day, or roughly 7.7 hours a week if you prefer to batch it. Miss a day and you make it up on the weekend; the point is a pace you can actually keep.
The plan, course by course
Why this set, and what we left out
Kaggle opens the plan because you query real tables immediately with no setup. We considered Khan Academy's SQL course as an alternative first step; it is solid but lighter, and Kaggle's certificate-backed track fits the fast pace better. We left freeCodeCamp's 60-hour Relational Database course out of the 30-day window: it is project-heavy and paced for months, so it belongs in the backend track rather than a one-month sprint.
The honest catch
This plan teaches you to query and understand databases, not to administer or tune them. Performance, indexing strategy, and production database operations are separate, deeper topics you will meet later on a backend path.
Keep going
Frequently asked questions
Can I learn SQL in 30 days?
Yes, comfortably. SQL has a small core, and a month at an hour a day is enough to write the JOINs and aggregates most real reporting tasks need.
Is SQL worth learning on its own?
Yes. SQL is one of the few skills that stands alone: data analysts, backend developers, and product folks all use it, and it pairs with almost any other track here.
What comes after SQL?
For data work, add Python and pandas. For backend, move into the 3-month backend plan, which builds on this SQL foundation.