Blackboard – Data Science Interview Questions

Here is the list Data Science Interview Questions which are recently asked in Blackboard company. These questions are included for both Freshers and Experienced professionals. Our Data Science Training has Answered all the below Questions.

  1. How do data scientists use statistics?
  2. What’s the difference between SAS, R, And Python Programming?
  3. What are interpolation and extrapolation?
  4. What is the difference between population and sample in data?
  5. What are the steps in making a decision tree?
  6. How is machine learning deployed in real-world scenarios?
  7. How is machine learning deployed in real-world scenarios?
  8. What do you mean by the term linear regression?
  9. Where to seek help in case of discrepancies in Tableau?
  10. Why is resampling done?
  11. What is underfitting?
  12. What is the difference between Machine learning Vs Data Mining?
  13. Do you prefer Python or R for text analytics?
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  14. What is the difference between extrapolation and interpolation?
  15. What is the purpose of A/B testing?
  16. How different is a mean value different from expected value?
  17. Why is it mandatory to clean a data set?
  18. What are the steps involved in analytics projects?
  19. What do you understand by the term recommender systems?
  20. If you had to choose between the programming languages R and Python, Which one would you use for text analytics?
  21. For linear regression, what are some of the assumptions a data scientist is most likely to make?
  22. How do you find the correlation between a categorical variable and a continuous variable?
  23. Can you explain the difference between a Test Set and a Validation Set?
  24. What is an Auto-Encoder?
  25. How can the outlier values be treated?
  26. Describe the structure of Artificial Neural Networks?
  27. What is Collaborative filtering?
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TOP MNC's DATA SCIENCE INTERVIEW QUESTIONS & ANSWERS

Here we listed all Data Science Interview Questions and Answers which are asked in Top MNCs. Periodically we update this page with recently asked Questions, please do visit our page often and be updated in Data Science.

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