Are you ready to be a Data Scientist?Free Data Science skill check.
The Data Science skill check is five multiple-choice questions, one each on Statistics, SQL, Inference, Experimentation and Hypothesis testing. It is free, takes about three minutes, and grades you from Novice to Expert with every answer explained.
- 5 questions
- About 3 minutes
- Free
Choose a course
Every course in the AI Tutor has its own check: five questions, one per topic.
Career tracks 11 courses
For a new role: engineer, scientist, analyst or builder.
Sign up free to start. Your answers are graded when you finish and saved to your record.
The Data Science skill check.Five topics, one question each.
Question 1 is below exactly as the check asks it. The answer, and why it is right, come with your result.
Data science roles require a unique blend of statistics, programming, and domain expertise. Companies want data scientists who can design experiments, write SQL, interpret results honestly, and communicate findings to non-technical stakeholders.
This diagnostic tests five areas that data science interviews consistently probe: descriptive statistics and when to use median vs mean, SQL aggregation patterns, the distinction between correlation and causation, A/B test design, and statistical significance.
Three minutes, five questions, and you'll know whether you're ready for data science interviews or need to strengthen your foundations first.
- 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.
A salary dataset has a few very high values. Which measure best describes a typical salary?
- AMean
- BMedian
- CMaximum
- DRange
“Learn AI” means three things.This check tests one of them.
It tests the statistics and data work underneath machine learning: SQL, inference, experiments and hypothesis tests.
- 01This check
Machine learning foundations
How models learn from data: the statistics, training and evaluation underneath them.
For you ifyou want to train and judge models, as an ML engineer or data scientist.
- 02
Applied LLM engineering
Building software on models like Claude and GPT: prompts, retrieval, agents, evals and shipping.
For you ifyou write code and want to build AI features, not train models from scratch.
Take the Generative AI check - 03
AI for your job
Using AI tools well in the work you already do: briefing them, checking what comes back, keeping data safe.
For you ifyou do not plan to code and want AI to make the work you do faster and better.
Take the AI for Operations check
Three steps.About three minutes.
It is free and nothing is booked. Save the report to keep it on your account.
- 01
Pick a course
Any of the 21 courses in the AI Tutor, from Generative AI to AI for Teachers. Each check covers five topics.
- 02
Answer five questions
One question per topic, four options each. Nothing is marked until you finish.
- 03
See your readiness
Your readiness out of 10, a skill map, every answer explained, and the path through the course.
Programmes that build on this check.Your result shows where to start.
Each one teaches Data Science by building, and ends in deployed work graded against a rubric you can read.
Before you start.Three quick answers.
What data science topics are tested?
Central tendency (median vs mean), SQL GROUP BY, correlation vs causation, A/B testing methodology, and p-values / statistical significance.
Do I need to know Python?
Not for this quick check. The full assessment includes Python coding challenges.
Is this relevant for analytics roles too?
Absolutely — these statistical and SQL fundamentals are essential for data analysts, business analysts, and data scientists alike.
Rather talk to a person?
Tell us what you want to do with AI. We’ll suggest a programme on a 15-minute call.