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?

164

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?

Can you explain supervised learning?

How do you understand by bias variance trade off?

Can you explain data munging or data wrangling?

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 }

How can I become a data scientist?

137

Explain the role of activation function?

Can you provide an example of features extraction?

What is back propagation?

How does data cleaning plays a vital role in analysis?

188

Define cluster sampling?

How will you overcome overfitting in predictive models?

119

What does ITER () do in Python?

190

How and by what methods data visualizations can be effectively used?

101

What is an example of a data set with a non-gaussian distribution?

What are interpolation and extrapolation?

How can you select k for k-means?

How do you do data import in sas?

Explain recommender systems?

110

Is it possible to perform logistic regression with Microsoft Excel?

178

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