Data Science MCQs with Answers 2026

Data Science MCQs with answers

Practice Data Science MCQs with answers. Statistics, data analysis, Python, visualization & more — fully solved for interviews 2026.

Practice Data Science MCQs with answers. Statistics, data analysis, Python, visualization & more — fully solved for interviews 2026. These MCQs are perfect for NTS, PPSC, FPSC, CSS, OTS, UPSC, GATE, UGC NET, bank exams, university exams, and job interviews. The bold green option ✅ is the correct answer.

Basics

1. Data Science combines:

a) Only programming    b) Statistics, programming, and domain knowledge ✅    c) Only math    d) Only visualization

2. Big Data refers to:

a) Small datasets    b) Extremely large complex datasets ✅    c) A database software    d) A programming language

3. The 3 Vs of Big Data are:

a) Volume Velocity Variety ✅    b) Value Vision Verify    c) Virtual Visual Vocal    d) Version Vendor View

Statistics

4. Mean is the:

a) Middle value    b) Most frequent    c) Average of all values ✅    d) Range

5. Median is the:

a) Average    b) Middle value when data is sorted ✅    c) Most frequent    d) Largest value

6. Mode is the:

a) Average    b) Middle value    c) Most frequently occurring value ✅    d) Smallest value

7. Standard deviation measures:

a) Average    b) How spread out data values are ✅    c) Total sum    d) Frequency

Tools

8. Pandas in Python is used for:

a) Web development    b) Data manipulation and analysis ✅    c) Game development    d) Operating systems

9. NumPy is used for:

a) Text processing    b) Numerical computing with arrays ✅    c) Web scraping    d) Database management

10. Matplotlib is used for:

a) Machine learning    b) Data visualization ✅    c) Web development    d) File management

11. Jupyter Notebook is:

a) A text editor    b) Interactive environment for writing and running code ✅    c) A database    d) An operating system

Process

12. First step in data science:

a) Model building    b) Data collection and understanding the problem ✅    c) Deployment    d) Visualization

13. Data cleaning involves:

a) Adding more data    b) Handling missing values and inconsistencies ✅    c) Deleting dataset    d) Ignoring errors

14. EDA stands for:

a) Electronic Data Archive    b) Exploratory Data Analysis ✅    c) External Data Access    d) Encrypted Data Algorithm

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Frequently Asked Questions

Which exams test these MCQs?

 Perfect for NTS, PPSC, FPSC, CSS, OTS, UPSC, GATE, UGC NET, bank exams, SSC, university exams, and IT job interviews.

Are answers included?

Yes — every MCQ has the correct answer in bold green with ✅. Free to use, no registration.

Can I download as PDF?

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