Data Science Interview Questions
Questions Answers Views Company eMail

What do you understand by the term data science?

100

What do you understand by normal distribution?

94

Do you prefer python or r for text analytics?

90

Why is resampling done?

103

What is overfitting?

96

Where to seek help in case of discrepancies in tableau?

332

What are the feature vectors?

94

What do you understand by the selection bias? What are its various types?

114

What is selection bias and why does it matter?

97

What are numpy, scipy, and spark essential datatypes?

103

why is data cleaning important for analysis?

104

Can you compare the validation set with the test set?

85

Can you explain the difference between a validation set and a test set?

94

Differentiate between data modeling and database design?

103

What is the best programming language to use in data science?

118


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Un-Answered Questions { Data Science }

What are the various steps involved in an analytics project?

88


Describe the various steps involved while carrying out an analytical project?

111


Can you compare the validation set with the test set?

85


What are feature vectors?

117


What do you mean by the term linear regression?

103






Define power analysis?

95


What is a jupyter notebook?

133


What do you understand by the selection bias?

93


On rolling a dice if you get $1 per dot on the upturned face,what are your expected earnings from rolling a dice?

70


When underfitting occurs in a static model?

148


Which language is best for data science?

123


What does pip installation?

96


what is the difference between extrapolation and interpolation?

84


Explain the difference between data modeling and database design?

81


What are requirements for clustering?

202