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Data Science Interview Questions
Questions Answers Views Company eMail

What are the applications of data science?

385

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

326

Can you define cluster sampling?

410

Can you explain systematic sampling?

342

Can you define linear regression?

318

Can you define analytics?

348

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

363

Can you explain root cause analysis?

309

Can you write the formula to calculate r-square?

337

Can you explain k-mean?

400

Why is data munging useful?

308

Can you define data reduction?

300

Can you define convex hull?

362

Can you explain recommender system?

336

Can you explain data preparation?

350


Post New Data Science Questions

Un-Answered Questions { Data Science }

List the differences between supervised and unsupervised learning.

371


Please explain the goal of a/b testing.

350


If you had to choose between the programming languages r and python, which one would you use for text analytics?

400


What do you mean by word data science?

407


Why we need ggplot?

448


You have a bag with 6 marbles. One marble is white. You reach the bag 100 times. After taking out a marble, it is placed back in the bag. What is the probability of drawing a white marble at least once?

313


What kind of product you want to build at LinkedIn?

312


What functions are required to principal analysis in R?

431


What is churn? How would it help predict and control churn for a customer?

364


Can you explain collaborative filtering?

457


What are the variants of back propagation?

354


What is meant by Poisson regression?

382


How has your prior experience prepared you for a role in data science?

314


What is a linear regression in data science?

345


How decision tree algorithm is different from the random forest algorithm?

340