Data Science Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

Data Science Interview Questions

Questions Answers Views Company eMail

What makes scientific data?

348

What are feature vectors?

338

Among python and r, which one is generally preferred for text analytics?

332

What is the difference between a cluster and systematic sampling?

329

Describe some assumptions considered important for linear regression?

301

What is selection bias?

328

Differentiate between type I and type ii error?

329

Give an example of a data set that has a non-gaussian distribution?

341

What is the importance of data cleaning in analysis?

313

Describe the various steps involved while carrying out an analytical project?

316

Different between overfitting and underfitting?

418

Differentiate between skewed and uniform distribution?

351

Why is dimensional reduction performed before fitting a support vector machine (svm)?

361

What is the importance of selection bias?

339

What is the purpose of a/b testing?

334

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Un-Answered Questions { Data Science }

How to work towards a random forest?

419

Define boltzmann machine

309

What is a linear regression?

363

How much ram do I need for data science?

322

Can you explain root cause analysis?

304

How can you select k for k-means?

313

Define power analysis?

329

During analysis, how do you treat missing values?

402

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

320

What is meant by linear regression?

305

What is correlation in R?

386

Explain recommender system?

320

What is bias – variance tradeoff?

307

What motivates you to transition from academia to data science?

319

Check whether a given integer is a palindrome or not without converting it to a string.

384

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