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 are the important skills to have in python with regard to data analysis?

335

Please explain gradient descent?

339

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

331

What do you know about autoencoders?

354

How can you select k for k-means?

322

What is the difference between skewed and uniform distribution?

344

What does sas stand out to be the best over other data analytics tools?

333

What are interpolation and extrapolation?

338

What is a recommender system?

372

How do data scientists use statistics?

330

Compare sas, r, python, perl?

343

Are the expected value and mean value different?

381

Could you explain how to define the number of clusters in a clustering algorithm?

327

What are the time series algorithms?

390

What are the principal components?

347

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Un-Answered Questions { Data Science }

Why data science and data scientists are needed?

295

What is the good measure of influence of a Twitter user?

316

What do you understand by the selection bias?

317

What are big data and data science?

431

Why is resampling done?

319

Explain types of statistical data?

323

Can you provide an example of features extraction?

339

What is the svm algorithm?

422

What is nosql? Name some examples of nosql databases.

370

Can you use a generator to create iterators?

400

Explain the goal of a/b testing?

336

Which machine learning algorithm will you use to solve a Uber driver accepting request?

365

What are limitations of DBSCAN?

459

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 do you understand by type I vs type ii error?

349

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