Data Science Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

Data Science Interview Questions

Questions Answers Views Company eMail

What are the major skills data scientist need?

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?

Can you explain data cleansing?

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

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

103

Can you explain supervised learning?

How do you understand by bias variance trade off?

Can you explain data munging or data wrangling?

100

What is difference between sas, r and python programming?

Can you define feature vector?

What is data scientist?

139

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

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

Can you define data discretization?

Un-Answered Questions { Data Science }

What is a recall?

Does the data scientist need to know programming?

122

What is the aim of a/b testing?

What are feature vectors?

121

What skills do I need to be a data scientist?

116

How do you do data import in sas?

What exactly does a data scientist do?

131

What is difference between sas, r and python programming?

What is linear optimization?

What are iterators in Python?

Explain the differences between univariate, bivariate and multivariate analysis?

Why data cleaning plays a vital role in the analysis?

142

How can you assess a good logistic model?

178

What is an outlier?

What is clustering? What is the difference between kmeans clustering and hierarchical clustering?

111

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