

Sign inFree 3-minute data science skill check. Statistics, SQL, inference, experimentation, and hypothesis testing — instant results, no signup.
What this check covers
Statistics
Knowing when median beats mean is the kind of judgment call that separates analysts from data scientists.
SQL
GROUP BY with aggregates is the bread and butter of real-world data queries.
Inference
Understanding that correlation is not causation prevents costly business decisions.
Experimentation
A/B test design is a core competency for any data role at a product company.
Hypothesis testing
Interpreting p-values correctly is surprisingly rare — and highly valued.
This platform is built to get you into roles like Data Scientist — this quick check is step zero.
You get an instant snapshot of your strengths and the exact gaps to close next.
No account, no code, no pressure — just an honest read on where you're starting from.
The course
9 modules · 49 lessons · 10 hands-on projects. Your placement result maps straight onto this path.
Outcomes
The skill check is just the on-ramp. Finish the track and you leave with proof, not just knowledge.
A working project, graded
Build a real project and get an AI review against a professional rubric.
A verified skill profile
See exactly where you stand across the competencies employers test for.
Production-grade patterns
Learn the patterns teams actually ship — not toy demos.
A portfolio you can share
Completed projects live in a public portfolio you can send to employers.
A certificate on completion
Earn a shareable certificate when you finish the track.
Central tendency (median vs mean), SQL GROUP BY, correlation vs causation, A/B testing methodology, and p-values / statistical significance.
Not for this quick check. The full assessment includes Python coding challenges.
Absolutely — these statistical and SQL fundamentals are essential for data analysts, business analysts, and data scientists alike.
Find your starting point as a Data Scientist — instantly, no signup.