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Data Science Interview Questions
Questions Answers Views Company eMail

What are the applications of data science?

326

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

284

Can you define cluster sampling?

339

Can you explain systematic sampling?

294

Can you define linear regression?

277

Can you define analytics?

306

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

313

Can you explain root cause analysis?

260

Can you write the formula to calculate r-square?

273

Can you explain k-mean?

346

Why is data munging useful?

256

Can you define data reduction?

245

Can you define convex hull?

314

Can you explain recommender system?

285

Can you explain data preparation?

301


Post New Data Science Questions

Un-Answered Questions { Data Science }

What is cross-validation?

252


What are applications of ggplot2?

332


What is k-means? How can you select k for k-means?

298


Is 8gb ram enough for data analysis?

339


Discuss decision tree algorithm?

262


What is meant by lattice graphs?

356


What is skewed distribution & uniform distribution?

289


What is the difference between select and update query?

337


Advantages of tableau prep?

295


What skills do I need to be a data scientist?

299


What is back propagation?

274


What is a linear regression?

312


What is meant by Poisson regression?

328


What are the various classification algorithms?

305


What is the difference between a bagged model and a boosted model?

295