For Flatiron / GA / Metis / Springboard grads

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
200+ 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 skill radar 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 34% of FAANG SQL questions use 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 10 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.

My bootcamp was great for Python, but the SQL module was 8 days. I had 6 weeks between graduation and my first Meta screen. The coach found my weak spots on day one and drilled them. I passed the screen on the first try.
Sarah K. · Data Analyst @ Meta · bootcamp → FAANG in 6 weeks

Before you click

My bootcamp already covered SQL. Is this repetitive?

No. The adaptive coach reads your skill radar 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 with 200+ questions 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. All challenges, the adaptive coach, skill radar, mock interviews, and 10 AI tutor calls per day are free. No credit card. Pro unlocks unlimited AI tutoring plus Hard challenges and the full mock-interview bank if you want it later.

Your bootcamp got you to the interview.
The Coach gets you through it.

Pick FAANG Interview Prep, solve your first challenge in 60 seconds, let the radar calibrate.

Start Interview Prep — Free ⚡

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