Data Science Interview Questions
Questions Answers Views Company eMail

What are the major skills data scientist need?

154

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

254

Can you explain cross-validation?

155

Can you explain data cleansing?

173

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

171

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

157

Can you explain supervised learning?

155

How do you understand by bias variance trade off?

142

Can you explain data munging or data wrangling?

160

What is difference between sas, r and python programming?

165

Can you define feature vector?

164

What is data scientist?

214

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

162

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

152

Can you define data discretization?

145


Post New Data Science Questions

Un-Answered Questions { Data Science }

Define a sql query? How do you use sql in sas, python, r languages?

214


Define the term cross-validation

158


Why is data munging useful?

155


Which plot will you use to access the uncertainty of a statistic?

172


Explain OLS in brief?

186


What are essential skills and training needed in data Science?

198


How are confidence intervals constructed and how will you interpret them?

171


What do you mean by the term linear regression?

176


What do you understand by linear regression and logistic regression?

226


What are the differences between overfitting and underfitting?

181


Do you need a teacher to be a scientist?

174


What would you add to Facebook and how would you pitch it and measure its success?

243


Name various types of deep learning frameworks

204


Which method in pandas.tools.plotting is used to create scatter plot matrix?

218


Why do you want to work as a data scientist?

160