How to use the Data Science MCQ Quiz
- 1. Answer each questionPick one option per question; skip any you like.
- 2. Check your scoreSee right and wrong answers marked.
- 3. Learn and retryRead the explanations, then start again.
What this quiz checks
Interviews for fresher data roles start with practical basics before any deep theory. These 15 questions follow a real project, from understanding the problem through cleaning, exploring and modelling to evaluating.
- Python tools: pandas DataFrames, missing values, NumPy matrix operations.
- Data handling: CSV files, SQL GROUP BY, one-hot encoding, imputation.
- Modelling: supervised vs unsupervised, overfitting, train/test splits, cross-validation.
- Judgement: picking a chart, and spotting when accuracy misleads.
Each question has one best answer and three tempting alternatives, so guessing from keywords will not get you far. The explanation after each answer tells you the reasoning in one or two lines, so you learn even from the ones you get wrong.
Score and next steps
Each correct answer is one mark with no negative marking, so a full score is 15 / 15. Nine correct is 60%. Unanswered questions are shown separately in your result.
Treat a low score as a to-do list, not a verdict. If the pandas questions trip you up, practise on a real CSV; if evaluation questions do, work through the confusion matrix calculator with your own numbers. For more depth, try the machine learning MCQ quiz and the statistics quiz. The quiz is scored in your browser and your answers are not stored.
Frequently asked questions
Is the quiz timed?
No. Take as long as you need. Time yourself if you want exam-style practice.
Who writes the questions?
Uncodemy trainers wrote them around common interview topics. They are practice questions, not from any official exam.
Is the Data Science MCQ Quiz free?
Yes, the Data Science MCQ Quiz is free. The first time you check your score, you are asked for your name and WhatsApp number once. After that, this and every other Uncodemy tool opens straight away without the form.