Data Analysis Top 20 interview questions
The demand for expert data professionals like data scientists, data analysts and data engineers are exponentially increasing since all the organizations today are leveraging big data to enhance their productivity and efficiency. However, these jobs are not easy to get only with having the right qualification. Clearing the interview is a trickiest part. So don’t you worry, in this article we have brought you 20 most asked interview questions for a data analyst which will help you to prepare for your interview.
- 1. Why do you want to be a data analyst?
- 2. What are the key requirements to become a Data Analyst?
- 3. What are the important responsibilities of a Data Analyst?
- 4. Name some of the best tools used for data analysis.
- 5. What do you mean by the term ‘data cleansing’? What is the best way to practice it?
- 6. State the difference between data mining and data profiling.
- 7. What do you mean by KNN imputation method?
- 8. What should a data analyst do with suspected or missing data?
- 9. What is an outlier?
- 10. What is Normal distribution?
- 11. What are the steps for a Data Analyst project?
- 12. What is the difference between R-squared and adjusted R-Squared?
- 13. Explain the difference between univariate, bivariate and multivariate analysis.
- 14. What do you mean by K-mean algorithm?
- 15. What is collaborative filtering?
- 16. How should you tackle multi-source problems?
- 17. Explain the steps in the process of data validation.
- 18. When do you think you should retrain a model? Is it dependent on the data?
- 19. State the criteria for a good data model.
- 20. What is an N-Gram?
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