Data Science Interview Questions
Questions Answers Views Company eMail

Can you define a/b testing?

82

What cross validation technique would you use on time series data set? Is it k-fold or loocv?

90

Can you explain interpolation and extrapolation?

112

Can you explain difference between data modeling and database design?

116

Explain while working on a data set, how do you select important variables?

111

Explain how can you assess a good logistic model?

85

Define cluster sampling?

84

Explain data munging?

97

Explain root cause analysis?

90

How is true positive rate and recall related?

80

Explain the differences between bivariate and multivariate analysis?

106

Explain interpolation and extrapolation?

94

Explain data wrangling?

106

Define a/b testing?

89

Explain unsupervised learning?

89


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Un-Answered Questions { Data Science }

What does Machine Learning mean for the Future of Data Science?

127


What do you mean by graphics devices in data visualization?

100


Python is enough for data science ?

106


Please explain gradient descent?

108


You have 2 dices. What is the probability of getting at least one 4? Also find out the probability of getting at least one 4 if you have n dices.

269






How do you handle missing values in python or r?

101


Explain how to write a table to a file?

104


Explain why data cleansing is essential and which method you use to maintain clean data?

103


Name the methods for General component analysis and explain them?

171


What is a jupyter notebook?

133


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

105


Implementing pow function

107


Define convex hull?

96


What is a random forest?

103


What are the metrics you will use to track if Uber's paid advertising strategies to acquire customers work? How will you figure out the acceptable cost of customer acquisition?

102