SQL alone isn't enough anymore.
Most SQL courses teach you to memorize syntax. That's not how analysts work.
The analysts getting hired and promoted right now can take a vague stakeholder brief, write the right queries, understand what the numbers are actually saying, and communicate it in a way that drives a real decision.
AI changed how fast you can get there — not by writing your queries for you, but by cutting the learning curve, explaining errors on the spot, helping you interpret results, and handling the communication layer so you can focus on the analysis.
That's the combination these courses teach.
How we think about SQL + AI
1
SQL + AI beats SQL alone
Not because AI does the work for you. Because it cuts the learning curve, helps you move from query result to business answer faster, and handles the communication layer so you can deliver more.
2
Implementation over memorization
The goal is never to recite syntax from memory. The goal is to answer a business question accurately and quickly, using every tool available.
3
The last 10% is yours
AI can generate 90% of a query, fast. The analyst who understands the data, validates the result, and translates it into a business decision is still irreplaceable. That's what you're building here.
Three courses. One for each stage.
Each course is five days, delivered by email. Every email is one concept, three hands-on exercises using real data, and one AI move you can apply immediately. No videos. No setup. Just open the email, run the queries, check your results.
1
Who it's for
You're new to SQL, or you've done a tutorial but never applied it to a real business question.
what you'll do
You'll follow one analyst through a Q1 sales review for Apex Retail, a fictional D2C (direct to consumer) electronics brand.
Every email adds one layer to the same dataset.
By Day 4, you'll have gone from raw data to a business story you could walk into a meeting with.
BY DAY 5, YOU'LL BE ABLE TO
Write SELECT, GROUP BY, CASE WHEN, and subqueries from a real business brief
Break down revenue by product, category, country, and time period
Use AI to interpret results and write a one-paragraph executive summary
2
Who it's for
You can write SELECT, WHERE, and GROUP BY, but the moment a database has more than one table, you're stuck.
You want to move from "I know some SQL" to "I can handle real analyst work."
what you'll do
You'll run a complete customer retention investigation across three related tables.
The dataset has two deliberate data quality issues built in, the kind that silently corrupt an analysis in the real world.
You'll find them, explain them, and fix them in your query.
By Day 4, you'll have a customer health summary ready for a leadership briefing.
BY DAY 5, YOU'LL BE ABLE TO
Write INNER JOIN and LEFT JOIN queries across three related tables
Detect data quality issues using SQL before they corrupt your analysis
Build margin analysis and customer segmentation tables
Use AI to review your query logic, not just generate it
3
Who it's for
You're writing JOINs and subqueries but your queries are hard to follow, you've never touched window functions, and you know there's a ceiling on what your SQL can do. This course breaks through it.
what you'll do
You'll build a complete quarterly business review for Apex Retail
Revenue by segment, margin analysis, product rankings, return rates, and month-over-month trends, using CTEs and window functions throughout.
By Day 4, the full report is built. By Day 5, you have the honest roadmap to senior analyst level.
BY DAY 5, YOU'LL BE ABLE TO
Write CTE chains where every step does exactly one job
Use RANK(), LAG(), and SUM() OVER() to answer questions GROUP BY can't touch
Calculate net revenue after returns and month-over-month trends in a single structured query
Use AI as a code reviewer and results interpreter, not a shortcut
Not sure which level to enroll?
If you're between levels, go one below where you think you are. It's better to move through a level fast than to get stuck.