Data Science Interview Questions
Questions Answers Views Company eMail

What are the applications of data science?

127

What is the difference between data science, machine learning and artificial intelligence?

111

Can you define cluster sampling?

95

Can you explain systematic sampling?

102

Can you define linear regression?

96

Can you define analytics?

93

What is the differences between univariate, bivariate and multivariate analysis?

129

Can you explain root cause analysis?

90

Can you write the formula to calculate r-square?

101

Can you explain k-mean?

84

Why is data munging useful?

90

Can you define data reduction?

74

Can you define convex hull?

91

Can you explain recommender system?

95

Can you explain data preparation?

100


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Un-Answered Questions { Data Science }

Write the code to reverse a Linked list.

179


How do you check for data quality?

107


How will you define the number of clusters in a clustering algorithm?

126


What will be your expected earnings with the two roll strategy?

257


If we added one rider to the current SF market, how would that affect the existing riders and drivers?

157






What is the good measure of influence of a Twitter user?

106


What packages are used for data mining in python and r?

101


What are the different deep learning frameworks?

104


What is a C ++ iterator?

101


What is the difference between iterator and generator in Python?

132


What is the supervised learning?

110


What is the difference between “long” and “wide” format data?

106


What is cart and chaid? How is bagging different from boosting?

93


What is data scientist?

139


What is the salary for a data scientist?

101