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

Data Science Interview Questions

Questions Answers Views Company eMail

Define the term cross-validation

162

what the aim of conducting a/b testing?

174

What is the k-means clustering method?

193

Name various types of deep learning frameworks

209

State the difference between the expected value and mean value?

181

Explain auto-encoder

174

How do you overcome challenges to your findings?

186

Discuss normal distribution

207

Explain cluster sampling technique in data science

231

What is the importance of having a selection bias?

167

Explain the steps for a data analytics project

203

Treating a categorical variable as a continuous variable would result in a better predictive model?

176

Name three types of biases that can occur during sampling?

185

What is a recall?

166

Explain the method to collect and analyze data to use social media to predict the weather condition?

365

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Un-Answered Questions { Data Science }

What is the job description for a data scientist?

158

How would add new Facebook members to the database of members, and code their relationships to others in the database?

224

What are disadvantages of bootstrap development?

192

What is the correlation in r?

144

What is cart and chaid? How is bagging different from boosting?

161

Which language is best for text analytics? R or python?

182

What are requirements for clustering?

274

What is the aim of a/b testing?

143

Explain data wrangling?

182

What is the job of a data scientist?

168

Define linear regression?

171

Explain survivorship bias?

203

Burn two ropes, one needs 60 minutes of time to burn and the other needs 30 minutes of time. How will you achieve this in 45 minutes of time ?

187

Explain how to merge data frames in R?

198

What is market basket analysis?

190

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