Data Science Interview Questions
Questions Answers Views Company eMail

What are the major skills data scientist need?

90

In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?

166

Can you explain cross-validation?

86

Can you explain data cleansing?

93

What is the difference between an analyst and a data scientist?

96

What do you understand by type I vs type ii error?

103

Can you explain supervised learning?

98

How do you understand by bias variance trade off?

91

Can you explain data munging or data wrangling?

100

What is difference between sas, r and python programming?

94

Can you define feature vector?

95

What is data scientist?

139

What is the advantage of performing dimensionality reduction before fitting an svm?

94

How is true positive rate and recall related? Write the equation.

99

Can you define data discretization?

83


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Un-Answered Questions { Data Science }

What do you understand by the term data science?

106


What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression?

86


Can you define power analysis?

111


What do you know about autoencoders?

115


Define cluster sampling?

84






How will you check if an element 25 is present in a vector?

148


Discuss linear regression?

105


How can you check if a data set or time series is random?

116


Can you explain the difference between a Test Set and a Validation Set?

131


If you had to choose between the programming languages r and python, which one would you use for text analytics?

107


How can you solve a problem that has no solution?

111


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

113


Explain eigenvalue and eigenvector

104


Is macbook good for data science?

98


How do you do for loops in python and r?

123