Learn SQL by building real reports
in just 7 days.
Not just watching tutorials — build practical SQL skills fast with a real dataset, day-by-day lessons, and a portfolio-ready revenue report.
- No installation — runs in your browser
- Beginner-friendly, zero jargon
- Real practice dataset included
- Lifetime access + free updates
Created by Jon Paco
Senior Full-Stack Tech Lead · Founder of Future AI
Built for beginners who want practical SQL skills, not just theory.
Built for people who need SQL on the job — yesterday.
Aspiring Data / Business Analysts
Move from spreadsheets to querying real data with confidence.
QA / Test Engineers
Validate test data and trace bugs straight from the database.
Junior Developers
Stop fearing JOINs and write queries reviewers actually approve.
Students & Career Switchers
Build a real portfolio query, not another to-do app.
You've watched the videos. You still freeze when someone asks for a report.
Most SQL courses teach syntax in a vacuum: a fake "employees" table, a SELECT *, and a pat on the back. The moment a real request hits — "revenue by region last quarter, excluding refunds" — it falls apart.
The tutorial loop
Watch → nod → close tab → forget. No dataset, no stakes, no muscle memory.
What you actually need
A messy dataset, a real question, and a guide that shows you how a working analyst thinks through it.
What you'll learn in 7 days.
One concept a day. Every day ends with a query you'd actually run at work.
Setup + First SQL Query
Get your environment ready, load the starter dataset, and run your first 10 minutes of SQL.
SELECT Basics
Learn how SQL thinks — pick columns, read results, and shape your first queries with confidence.
Filtering Rows with WHERE
Use WHERE to pull only the rows that matter — by date, status, and value.
Advanced Filtering + Sorting
Go deeper with LIKE, IN, BETWEEN, then ORDER BY and LIMIT to control your output.
Aggregates and Grouping
Count, sum, and average with aggregates, then slice the numbers with GROUP BY.
HAVING, NULLs & Beginner Joins
Filter groups with HAVING, handle missing data correctly, and combine tables with JOINs.
Real-World Reporting Queries
Put it all together to build the kind of reports real teams ship — plus a take-home cheat sheet.
Day 7 deliverable
A revenue report you can paste into your portfolio or hand to a manager on Monday.
Screenshots of the guide & dataset.
PDF guide — 80+ pages
Annotated SQL, diagrams, and "why it works" notes on every page.
sales.csv · 12,408 rows
| order_id | product | region | revenue | date |
|---|---|---|---|---|
| 10423 | Pro Plan | EU | $249.00 | 2024-10-02 |
| 10424 | Starter | US | $29.00 | 2024-10-02 |
| 10425 | Pro Plan | APAC | $249.00 | 2024-10-03 |
| 10426 | Team | US | $899.00 | 2024-10-03 |
| 10427 | Starter | EU | $29.00 | 2024-10-04 |
| 10428 | Pro Plan | US | $249.00 | 2024-10-04 |
| 10429 | Team | EU | $899.00 | 2024-10-05 |
| 10430 | Starter | APAC | $29.00 | 2024-10-05 |
Practice dataset (CSV + SQL dump)
Real-shape e-commerce data with messy edge cases — NULLs, refunds, time zones.
Sample lesson preview
Day 2 · GROUP BY — revenue by region.
A 30-second taste of how each day reads.
The question
"How much revenue did each region bring in last quarter?"
We start with the smallest query that answers it, then layer in filters and formatting until it looks like something you'd send.
Why this matters
GROUP BY is where SQL stops feeling like a search box and starts feeling like a tool that thinks. Get this right and 70% of reporting work opens up.
SELECT region, SUM(revenue) AS total_revenue, COUNT(*) AS orders FROM sales WHERE order_date >= '2024-10-01' AND order_date < '2025-01-01' AND status = 'paid' GROUP BY region ORDER BY total_revenue DESC;
↳ result
| US | $184,210 | 742 |
| EU | $121,408 | 513 |
| APAC | $ 67,930 | 298 |
What early readers are saying.
"I'd done three SQL courses and still froze in interviews. After Day 4 I wrote my first real JOIN at work — no Google."
Priya M.
Junior Analyst
"The NULL chapter alone is worth the price. I'd been silently producing wrong reports for months."
Daniel R.
QA Engineer
"Finally a SQL resource that doesn't pretend everyone wants to be a DBA. Straight to the reports."
Lina O.
Career Switcher
Questions, answered.
Start thinking like a data expert today.
One-time payment. Lifetime access. 14-day refund if it's not for you.