After the Bootcamp: Close Your SQL Gap in Weeks

You finished the bootcamp.
Now prove you can do the job.

Your cohort taught the basics. The job postings want 3 years of SQL depth. Close the gap with an adaptive coach that targets your weak spots, gates advancement on real mastery, and prepares you for interview pressure.

Start FAANG Interview Prep — Free ⚡

✅ Mock interviews with timed scoring

✅ 300+ challenges at real difficulty

✅ Free to start

The gap is real.

Bootcamps optimise for breadth across Python, pandas, viz, ML. SQL depth gets 2 weeks. Interviews want 3 years of it.

Your cohort covered

SELECT, WHERE, basic filters
INNER JOIN on 2 tables
GROUP BY with COUNT / SUM
Maybe one CASE example
A capstone project SQL query

Interviews actually ask

Window functions (RANK, LAG, running totals)
Correlated subqueries and CTEs
3+ table JOINs with self-joins
Gap analysis, cohort retention, top-N per group
Write cold, on a whiteboard, in 15 minutes

The Coach targets the gap directly.

Pick the FAANG Interview Prep goal. The coach reads your Skillmap from your first few solves, identifies your weak spots, and drills them with mastery checks that require fresh solves, not recognition.

sqlquest.app/app · Coach

YOUR GOAL

🎯 FAANG Interview Prep

Change goal

Step 18 of 41 44% complete

🧭 YOUR NEXT STEP

Drill Window Functions — your radar shows 22/100

Why: you nailed GROUP BY. Window functions are your biggest gap, and harder interview questions lean on them.

STEP TYPE · DRILL (5 CHALLENGES)

Focused RANK / ROW_NUMBER / LAG set

Medium → Hard Window Functions ~25 min

✨ Source-aware boost: solves here count 1.3× on the radar

UP NEXT · MASTERY CHECK

Solve 3 fresh Hard window-function challenges

🔒 Gate before interview-prep phase 2

📡

Finds your gaps

First few solves calibrate the radar. You see which of the 9 canonical skills you're weakest on.

💪

Produce, don't recognise

Mastery checks require fresh solves. No question bank you can grind answers to.

⏱️

Mock interview mode

Timed, scored, pressure-simulated. Matches Meta / Google / Amazon phone screen format.

⏳

Spaced retrieval

Retrieval checks schedule a cold re-solve a day after each lesson. That's how it sticks for the interview.

Before you click

My bootcamp already covered SQL. Is this repetitive?

No. The adaptive coach reads your Skillmap from your first few solves. If you're already strong at the basics your bootcamp covered, those steps auto-skip. It routes you to the depth that bootcamps don't have time for — window functions, correlated subqueries, CTEs, top-N patterns.

How long until I'm interview-ready?

It depends on how deep your cohort went and how fast you practice. Users coming out of a 12-week data bootcamp typically close the window-function + subquery gap in 3–4 weeks of steady practice, and pass their first FAANG-tier phone screen within 6 weeks.

Does it cover FAANG-style interview questions?

Yes. FAANG Interview Prep is a dedicated goal track drawing on 195 core challenges modelled on the exact patterns Meta, Google, Amazon, Apple, and Netflix ask in phone screens and onsites. Plus timed mock-interview mode.

Is it really free?

Yes, to start. Your first 10 challenge solves (any Easy or Medium, or one of the 6 Hard previews), the lessons, the adaptive coach, Skillmap, a free general mock interview, and 20 AI tutor calls per day are free. No credit card. Pro opens all 300+ challenges, including the Hard set, plus AI tutoring without the free tier's daily cap and the full mock-interview bank if you want it later.