Try the analytics engineering platform in 30 minutes.
No credit card. Start with your current skills, get a useful next step, and preview the practice, lessons, and projects before you buy.
Still deciding whether analytics engineering is the right move?
The complete 2026 guide covers what the role actually is, how it compares to data engineering and analysis, real salary bands, and three honest paths from where you are now to hired.
Read the complete guide →- 01
Create a free account
Email sign-in only — no password to set up. You'll land on the dashboard with your progress tracked from day one.
- 02
Find your current skill level
Take the diagnostic so the platform can point you toward the domains to practice and past foundations you already know.
- 03
Try a free SQL exercise
Browse the practice library and work through the first SQL exercise. Answers reveal after you submit an attempt.
- 04
Read a sample lesson
See a representative course lesson with short explanations, executable code, a checkpoint, and a recap. No account or purchase needed.
- 05
Pick the right kind of project
Choose a focused practice challenge, an applied lab, a portfolio build, or preview the production capstone.
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Upgrade when you're ready
The full course unlocks the personalized path, 90 core lessons, project work, the GPT tutor, and the human-reviewed BigQuery + dbt capstone.
Or skip ahead.
Already experienced? Take the diagnostic and skip the foundations you can demonstrate instead of sitting through basics.