SQL on CSV · lesson 4 of 10 · runs in your browser

Combine conditions, match patterns.

One condition is rarely enough. AND narrows, OR widens, and LIKE matches shapes of text instead of exact values.

About this course

SQL, on a real CSV.

Every lesson runs a real SQL engine on real data, locally — no setup, no account, nothing uploaded. Your progress saves in your browser.

i. read

Read the idea

Each lesson is one concept with runnable examples — click any “try it” to load it into the editor.

ii. run

Run real queries

Edit and run anything (Ctrl+Enter). The data is a real generated CSV — the same one every learner sees.

iii. check

Check yourself

Exercises are verified by comparing your result against a reference — any correct query passes, not just one exact answer.

Keep going

The rest of the course.

Ten lessons from SELECT to multi-column GROUP BY.

  • 01

    SELECT & LIMIT

    Your first SQL on a real CSV: SELECT * to see everything, LIMIT to take just a few rows.

  • 02

    Picking columns

    Select only the columns you need and rename them with AS.

  • 03

    WHERE filters

    Filter CSV rows with WHERE: equality, greater/less than, text and numbers.

  • 04

    AND, OR & LIKE

    Combine filters with AND/OR and match text patterns with LIKE and % wildcards.

"Run real SQL on real CSV data — in a browser tab, with nothing installed."
— the whole idea
FAQ

Course questions.

Do I need to install anything?
No — the SQL engine runs in your browser. Open the lesson, write queries.
Locally, in your browser's storage — nothing is sent anywhere, and clearing site data resets it.
No. Your query and a reference query both run on the data and the RESULTS are compared — any query producing the right result passes, whatever aliases or style you use.
A core subset every dialect shares: SELECT, WHERE, GROUP BY, ORDER BY, LIMIT, the five standard aggregates, AS and LIKE. Skills transfer directly to Postgres, MySQL, SQLite and DuckDB.