Data Science Interview Questions
Questions Answers Views Company eMail

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

156

Explain supervised learning?

166

Explain the difference between an analyst and a data scientist?

154

Explain the differences between univariate and multivariate analysis?

207

Explain data preparation?

154

Explain the differences between univariate and bivariate analysis?

164

Define power analysis?

160

Explain systematic sampling?

159

Explain the difference between data science, machine learning and artificial intelligence?

173

Define data discretization?

163

Which database is best for data science?

163


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Un-Answered Questions { Data Science }

What is logistic and linear regression? Name some packages in r and python for building regression models.

177


Define naive bayes?

155


How can you assess a good logistic model?

237


What is the roc curve?

180


How to create survival object in R?

309


What do you understand by parametric and non-parametric methods? Explain with examples.

167


What do you understand by normal distribution?

301


How many sorting algorithms are available?

207


What skills do you need to be a data analyst?

189


Where is association analysis used?

208


What is the importance of having a selection bias?

161


Suppose that American Express has 1 million card members along with their transaction details. They also have 10,000 restaurants and 1000 food coupons. Suggest a method which can be used to pass the food coupons to users given that some users have already received the food coupons so far.

161


How can outlier values be treated?

220


Write the formula to calculate r-square?

180


Explain root cause analysis?

163