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Data Science Interview Questions
Questions Answers Views Company eMail

What is the difference between bayesian estimate and maximum likelihood estimation (mle)?

319

Why is it mandatory to clean a data set?

381

What tools or devices help you succeed in your role as a data scientist?

359

A test has a true positive rate of 100% and a false-positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?

373

What is meant by supervised and unsupervised learning in data?

321

Why do you want to work at this company as a data scientist?

316

What are outlier values?

415

How to work towards a random forest?

432

What devices or tools help you most as a data scientist?

305

Explain the goal of a/b testing?

336

What are the various types of selection bias?

346

Please explain the goal of a/b testing.

350

Do gradient descent methods always converge to the same point?

447

Explain how to define the number of clusters in a clustering algorithm?

402

What is meant by sampling? Explain some sampling methods that you know?

322


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Un-Answered Questions { Data Science }

What do you mean by cluster sampling and systematic sampling?

280


Explain the decision tree algorithm?

401


What does ITER () do in Python?

461


How will you test that there is increased probability of a user to stay active after 6 months given that a user has more friends now?

531


Define some key performance indicators for the product

297


How will you handle missing data ?

444


What is term Pearson’s Correlation Coefficient?

370


What do you understand by the selection bias?

317


Case Study based questions - Cars are implanted with speed tracker so that the insurance companies can track about our driving state. Based on this new scheme what kind of business questions can be answered?

465


Why data science and data scientists are needed?

295


Why L1 regularizations causes parameter sparsity whereas L2 regularization does not?

420


How can you solve a problem that has no solution?

321


Which companies participating in Insight would you be interested in working for?

341


How can outlier values be treated?

391


How does data cleaning plays a vital role in analysis?

399