Data Science Top 20 Interview questions
In this era of Big Data and Machine Learning, the demand for data science jobs is rising exponentially however, there is a serious lack of qualified data scientists worldwide. If you are also the one who wants to become a Data Scientist, you need to get prepared to impress your prospective employer with your knowledge and technical skills. So, in this article we have brought you 20 most asked interview questions for data science interview which will help you crack your interview.
- 1. What do you mean by data science? State the differences between supervised and unsupervised learning.
- 2. What do you mean by selection bias?
- 3. Explain how logistic regression is done?
- 4. What are the steps in making a decision tree?
- 5. What is the difference between univariate, bivariate and multivariate analysis?
- 6. What do you mean by overfitting of the model and how can you avoid it?
- 7. How random forest model is build?
- 8. How will you deal with a data set consisting of variables more than 30 percent missing values?
- 9. What is root cause analysis?
- 10. Name some feature selection methods for selecting the right variables.
- 11. What is dimensionality reduction and its benefits?
- 12. How a deployed model is maintained?
- 13. What do you mean by recommender system?
- 14. State the significance of p-value?
- 15. How do you treat outlier values?
- 16. When can a time-series data be declared as stationery?
- 17. Explain how you calculate accuracy by using a confusion matrix.
- 18. What do you mean by precision and recall rate?
- 19. What is cross- validation?
- 20. Explain collaborative filtering.
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