Data Science Interview Questions
Questions Answers Views Company eMail

Explain the difference between a test set and a validation set?

102

Explain supervised learning?

97

Explain the difference between an analyst and a data scientist?

78

Explain the differences between univariate and multivariate analysis?

113

Explain data preparation?

87

Explain the differences between univariate and bivariate analysis?

92

Define power analysis?

95

Explain systematic sampling?

101

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

99

Define data discretization?

104

Which database is best for data science?

89


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Un-Answered Questions { Data Science }

Discuss linear regression?

103


Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.

119


How many dentists are there in US?

108


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

101


Differentiate between data modeling and database design?

103






What is meant by linear regression?

97


What is the purpose of a/b testing?

89


What do you mean by graphics devices in data visualization?

100


Why is data cleaning essential in data science?

98


Advantages of tableau prep?

107


Which language is best for text analytics? R or python?

109


A building has 100 floors. Given 2 identical eggs, how can you use them to find the threshold floor? The egg will break from any particular floor above floor N, including floor N itself.

209


How does data cleaning plays a vital role in the analysis?

90


What’s the difference between pip and pip3?

118


Please explain eigenvectors and eigenvalues?

83