Data Science Interview Questions
Questions Answers Views Company eMail

What are the applications of data science?

201

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

178

Can you define cluster sampling?

177

Can you explain systematic sampling?

174

Can you define linear regression?

174

Can you define analytics?

168

What is the differences between univariate, bivariate and multivariate analysis?

197

Can you explain root cause analysis?

146

Can you write the formula to calculate r-square?

180

Can you explain k-mean?

167

Why is data munging useful?

155

Can you define data reduction?

142

Can you define convex hull?

183

Can you explain recommender system?

179

Can you explain data preparation?

164


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Un-Answered Questions { Data Science }

What is linear optimization? Where is it used?

163


What is the basic responsibility of a data scientist?

171


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

254


A stranger uses a search engine to find something and you do not know anything about the person. How will you design an algorithm to determine what the stranger is looking for just after he/she types few characters in the search box?

284


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

174


Explain types of statistical data?

173


What do you understand by the selection bias?

164


How regularly must an algorithm be updated?

184


What education is required for data science role?

178


Write the formula to calculate r-square?

180


You have been given the data on Facebook user's friending or defriending each other. How will you determine whether a given pair of Facebook users are friends or not?

195


Explain data cleansing?

169


What is f test?

194


How do you take millions of users with 100's of transactions each, amongst 10000's of products and group the users together in a meaningful segments?

271


What are Important things to remember for ggplot?

184