Become hireable as an analytics engineer.
One payment for the complete curriculum, every graded exercise, the BigQuery + dbt + Looker capstone, and lifetime updates. Built around the work analytics engineers actually do — and the projects hiring managers actually read. 30-day refund if it isn't for you.
Analytics Engineering Mastery
One payment · Lifetime access · 30-day refund
- 11 modules · 175 lessons
- 1,598 graded exercises across 48 topics
- 22 portfolio projects, including the capstone
- BigQuery + dbt Cloud capstone project
- GPT tutor on every lesson and exercise
- Interview-prep questions and worked answers
- Lifetime access · every future update included
- 30-day money-back guarantee
Secure checkout · powered by Stripe
Practice Pass
Unlock the full practice library and SQL Rapid-Fire — every graded exercise with hints and worked solutions, across 48 topics. One payment, lifetime access. No capstone or GPT tutor — that's the full course.
- All 1,598 graded exercises
- Hints + worked solutions
- SQL Rapid-Fire, unlimited
- Lifetime access
Free training
Try the platform before you buy. Free forever, no credit card.
- Curated sample SQL exercises
- All 84 free resource articles
- Roadmap and syllabus preview
- Topic hubs across SQL, dbt, modeling, BigQuery, and Python
1-on-1 coaching with Eric
Prefer direct feedback on your code, portfolio, and interviews? Private mentorship built around your goal — limited spots, by application.
Most paths to analytics engineering are a mismatch.
Cheap content teaches concepts in isolation. Expensive content teaches everything except analytics engineering. The gap is the same in both cases — graded practice, real projects, and a portfolio you can actually walk through.
Concepts in isolation. No grading, no portfolio, no path. You finish a playlist and still can't explain a star schema in an interview.
Linear video lectures. The exercises are scaffolded toys, not realistic patterns. Nothing builds toward something you can put on GitHub.
Generalist data curriculum across analytics, ML, and engineering. Months of your life, broad coverage — but rarely the specific dbt / data-modeling / warehouse rigor analytics engineering hiring screens for.
Built specifically for the analytics engineering role. Every lesson ends in a graded exercise. Every module ends in a portfolio piece. The capstone is a real dbt + BigQuery + Looker project you ship to GitHub.
One analytics engineering role typically moves total comp by tens of thousands a year. The course is priced to be a small fraction of that — but the work is yours. Lifetime access means you can come back any time the industry shifts.
Be honest with yourself.
The course filters out the kind of buyer who sits through video lectures without practicing and then asks for a refund. If any of these describe you, skip it.
- You want a passive video course you can have on in the background while you do other things.
- You want a certificate you can put on LinkedIn without actually shipping anything.
- You're looking for a shortcut. The curriculum assumes you'll write the queries, build the models, and push the repo.
- You're already a senior analytics engineer. The curriculum starts from fundamentals — though the dbt Cloud / capstone modules may still be useful.
- You want hand-holding from a live instructor on demand. You'll get the GPT tutor and email support, not weekly office hours.
What you're actually buying.
Taught by someone people trust to teach them.
- ★★★★★
“Such a great mentor, and so calm and understanding. As a newbie to SQL I found it intimidating, but I appreciate Eric's support throughout. 10/10 would recommend.”
Verified Codementor menteeLearning SQL from scratch - ★★★★★
“With only 2 sessions I'm confident I can improve my SQL, Python, and Snowflake skills. Go with Eric — you can't go wrong.”
Verified Codementor menteeSQL · Python · Snowflake - ★★★★★
“Walked in terrified of SQL and now I feel ready to learn more. Eric was candid about his experience and shared resources and tips that can help my career.”
Verified Codementor menteeSQL · career advice
Questions worth answering.
I have zero technical background. Is this really for me?
Yes. The curriculum starts from the fundamentals — what a relational database is, what a SELECT statement does, what an analytics engineer's day looks like. Your pace is up to you; the platform tracks your progress and lets you leave and return without losing place.
How is this different from a free YouTube playlist or a $50 Udemy course?
Free tutorials cover isolated concepts. This is a complete curriculum with graded exercises, a portfolio capstone, and a coherent path from beginner to job-ready. The 1,598 exercises aren't passive — they're checked. The capstone is a real BigQuery + dbt Cloud build you can put on GitHub.
How long will it take?
Depends on how much time you can give it. 10–15 hours a week typically takes about three months. Moonlighting around a full-time job, expect six. The platform tracks your progress so you can pause and resume without losing place.
What if I get stuck?
Every lesson and exercise has a built-in GPT tutor — it knows the context of what you're looking at and can explain, hint, or walk through the problem with you.
Is the content kept up to date?
Yes. The dbt and analytics-engineering ecosystems move quickly; the curriculum is updated to reflect current versions and patterns. Lifetime access means you get every update.
What if it's not for me?
30-day refund. Try the first three modules, do the exercises, and if it's not delivering value, email and you'll get a full refund.
Will the AI tools section help me in interviews?
Yes. Hiring managers increasingly screen for AI fluency. Module 9 covers ChatGPT prompt patterns for SQL review, dbt generation, modeling, and how to use Cursor as a coding partner — concrete skills you can demonstrate in a screen.