1. What do you mean by word Data Science?
  2. Explain the term botnet?
  3. What is Data Visualization?
  4. How you can define Data cleaning as a critical part of process?
  5. Differentiate between Data modelling and Database design?
  6. Differentiate between Data modelling and Database design?
  7. What are Recommender Systems?
  8. Why data cleaning plays a vital role in analysis?
  9. What is Linear Regression?
  10. What do you understand by term hash table collisions?
  11. Compare and contrast R and SAS?
  12. What do you understand by letter ‘R’?
  13. What is Interpolation and Extrapolation?
  14. What is the difference between Cluster and Systematic Sampling?
  15. Are expected value and mean value different?
  16. What does P-value signify about the statistical data?
  17. What is the goal of A/B Testing?
  18. What is an Eigenvalue and Eigenvector?
  19. How can you assess a good logistic model?
  20. What is Machine Learning?

TOP MNC DATA SCIENCE INTERVIEW QUESTIONS