Data Science Interview Questions
Questions Answers Views Company eMail

What is the difference between supervised and unsupervised methods?

123

What is a z test, chi square test, f test and t test?

118

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

105

What are the various classification algorithms?

117

What is data science? Also, list the differences between supervised and unsupervised learning.

105

A certain couple tells you that they have two children, at least one of which is a girl. What is the probability that they have two girls?

196

List the differences between supervised and unsupervised learning.

112

How does data cleaning plays a vital role in analysis?

190

What is back propagation and explain it’s working.

102

What is the role of activation function?

120

Explain the structure of artificial neural networks?

113

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

113

In any 15-minute interval, there is a 20% probability that you will see at least one shooting star. What is the proba­bility that you see at least one shooting star in the period of an hour?

229

How can you generate a random number between 1 – 7 with only a die?

255

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

106


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Un-Answered Questions { Data Science }

Define convex hull?

96


What is root Linear Regression analysis?

135


How is random forests different from decision trees?

107


What is data science?

139


Explain data preparation?

87






What are the various types of selection bias?

110


Discuss decision tree algorithm?

98


Do you prefer python or r for text analytics?

90


Explain the differences between univariate and multivariate analysis?

113


How do data scientists use statistics?

101


What are limitations of DBSCAN?

162


Write the code to sort an array in numpy by the nth column?

142


Can you explain collaborative filtering?

113


Explain auto-encoder

92


What are eigenvalue and eigenvector?

122