1. Derive the equations for GMM.
  2. What do you mean by word Data Science?
  3. Explain the term botnet?
  4. What is Data Visualization?
  5. How you can define Data cleaning as a critical part of process?
  6. Point out 7 Ways how Data Scientists use Statistics?
  7. Differentiate between Data modeling and Database design?
  8. Describe in brief the data Science Process flowchart?
  9. What are Recommender Systems?
  10. Why data cleaning plays a vital role in analysis?
  11. What is Linear Regression?
  12. What do you understand by term hash table collisions?
  13. Compare and contrast R and SAS?
  14. What do you understand by letter ‘R’?
  15. What is Interpolation and Extrapolation?
  16. What is Collaborative filtering?
  17. How to design a customer satisfaction survey?
  18. Explain a probability distribution that is not normal and how to apply that?
  19. Describe the process of data analysis?
  20. Mention what is data cleansing?

TOP MNC DATA SCIENCE INTERVIEW QUESTIONS