Test your data science knowledge with 25 exam-style questions. Get an instant readiness score, find your weak areas, and know if you're ready for your next data science interview — no sign-up required.
This quiz covers the core Python data science stack and ML fundamentals tested in data science and ML engineering interviews. Questions span libraries, statistics, and model evaluation.
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.
Free. No sign-up. Results in under 20 minutes.