Take this free data science practice test and find out if you are ready for certification or your next interview. 25 exam-style questions, instant readiness score, topic-by-topic accuracy breakdown — no sign-up required.
This free data science practice test covers the core Python data science stack and ML fundamentals tested in data science certifications and ML engineering interviews. Questions span libraries, statistics, and model evaluation — the same topics examiners target. Use your difficulty rating and per-topic score to guide your study plan.
Choose Easy, Medium, or Full test depending on where you are in your learning.
One question at a time. Click an answer and get instant feedback with a full explanation.
See your readiness score (0–100), pass likelihood, and a topic-by-topic breakdown.
The full test (Hard mode) has 25 questions across 7 topics. Easy mode covers Python library basics; Hard mode includes ML theory and evaluation metrics.
Questions focus on NumPy, Pandas, and scikit-learn. Matplotlib is touched on briefly. The emphasis is on data manipulation and ML workflows, not visualization.
Yes. Questions are modelled on what data scientists and ML engineers are commonly tested on during technical screening rounds.
Completely free, no account needed. Pick a difficulty and start.
An instant readiness score (0–100), pass likelihood, a topic-by-topic accuracy breakdown, and your exact weak areas to focus on before your interview.
Yes. The questions mirror the ML, statistics, and Python library topics that data scientist certification exams and technical screening rounds assess. Use your topic-by-topic score to find the gaps in your data scientist exam prep before test day.
Free. No sign-up. Results in under 20 minutes.