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Data Science Interview Questions
Questions Answers Views Company eMail

What are the major skills data scientist need?

263

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

369

Can you explain cross-validation?

251

Can you explain data cleansing?

285

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

291

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

295

Can you explain supervised learning?

269

How do you understand by bias variance trade off?

274

Can you explain data munging or data wrangling?

277

What is difference between sas, r and python programming?

316

Can you define feature vector?

264

What is data scientist?

315

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

263

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

265

Can you define data discretization?

228


Post New Data Science Questions

Un-Answered Questions { Data Science }

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

291


Explain calculate distance methods briefly?

277


why is data cleaning important for analysis?

315


Which machine learning algorithm will you use to solve a Uber driver accepting request?

325


Explain data cleansing?

280


What skills are required for data analytics roles?

348


Explain the decision tree algorithm, and how is it different from the random forest algorithm?

275


Why is resampling done?

280


Why data science and data scientists are needed?

255


Explain difference between binomial and Poisson distribution?

280


State some use cases where Hadoop MapReduce works well and where it does not.

308


what is prior probability and likelihood?

326


Explain recommender system?

280


What kind of product you want to build at LinkedIn?

273


Differentiate between regression and classification algorithms?

286