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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?

334

Can you define cluster sampling?

420

Can you explain systematic sampling?

347

Can you define linear regression?

320

Can you define analytics?

354

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

364

Can you explain root cause analysis?

313

Can you write the formula to calculate r-square?

337

Can you explain k-mean?

401

Why is data munging useful?

312

Can you define data reduction?

312

Can you define convex hull?

363

Can you explain recommender system?

340

Can you explain data preparation?

351


Post New Data Science Questions

Un-Answered Questions { Data Science }

What is an example of a data set with a non-gaussian distribution?

331


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

497


A dice is rolled twice, what is the probability that on the second chance it will be a 6?

334


Name some kinds of graphs and explain how you would build them in python or r.

314


What is a/b testing in data science?

351


What does the future hold for data scientists?

353


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


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

424


What are the types of business decisions?

339


What jupyter used?

312


How to run a pycharm debugging?

429


Explain the difference between a validation set and a test set?

336


What is interpolation and extrapolation?

422


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

319


How long should a pip last?

374