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 is the difference between supervised and unsupervised methods?

388

What is a z test, chi square test, f test and t test?

358

What packages are used for data mining in python and r?

350

What are the various classification algorithms?

361

What is data science? Also, list the differences between supervised and unsupervised learning.

329

A certain couple tells you that they have two children, at least one of which is a girl. What is the probability that they have two girls?

423

List the differences between supervised and unsupervised learning.

378

How does data cleaning plays a vital role in analysis?

402

What is back propagation and explain it’s working.

338

What is the role of activation function?

505

Explain the structure of artificial neural networks?

431

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

338

In any 15-minute interval, there is a 20% probability that you will see at least one shooting star. What is the probability that you see at least one shooting star in the period of an hour?

490

How can you generate a random number between 1 – 7 with only a die?

591

What is the difference between “long” and “wide” format data?

347

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Un-Answered Questions { Data Science }

Define some key performance indicators for the product

300

How can the outlier values be treated?

392

Explain cluster sampling technique in data science

410

What makes scientific data?

360

Why are generators used in Python?

398

Explain types of clustering algorithm?

319

Where is association analysis used?

382

Explain while working on a data set, how do you select important variables?

351

Why is resampling done?

327

why is data cleaning important for analysis?

375

What is an api? What are apis used for?

336

On rolling a dice if you get $1 per dot on the upturned face,what are your expected earnings from rolling a dice?

289

What is logistic and linear regression?

353

What do you understand by normal distribution?

499

How will you cut a circular cake into 8 equal pieces?

311

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