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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?

325

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?

299

Can you define convex hull?

362

Can you explain recommender system?

335

Can you explain data preparation?

350


Post New Data Science Questions

Un-Answered Questions { Data Science }

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?

422


What is meant by lattice?

517


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

314


Define the term cross-validation

317


Write the code to sort an array in numpy by the nth column?

346


What is advantage of using apply family of functions in r?

353


What is data science?

362


How do data management procedures like missing data handling make selection bias worse?

497


Can you explain data preparation?

350


why do you need to perform resampling?

348


What does a data scientist do?

407


Does the data scientist need to know programming?

400


What is missing value imputation? How do you handle missing values in python or r?

353


What is difference between sas, r and python programming?

379


Which language is best for data science?

349