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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)?

310

Why is it mandatory to clean a data set?

373

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

353

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?

369

What is meant by supervised and unsupervised learning in data?

309

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

310

What are outlier values?

410

How to work towards a random forest?

419

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

303

Explain the goal of a/b testing?

326

What are the various types of selection bias?

342

Please explain the goal of a/b testing.

343

Do gradient descent methods always converge to the same point?

439

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

398

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

313


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Un-Answered Questions { Data Science }

You have two tables-the first table has data about the users and their friends, the second table has data about the users and the pages they have liked. Write an SQL query to make recommendations using pages that your friends liked. The query result should not recommend the pages that have already been liked by a user.

411


Is macbook good for data science?

329


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

319


Write a program to segment a long string into a group of valid words using Dictionary. The result should return false if the string cannot be segmented. Also explain about the complexity of the devised solution.

432


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

316


How is a normal distribution different from chi square distribution?

336


You created a predictive model of a quantitative outcome variable using multiple regressions. What are the steps you would follow to validate the model?

340


Write the code to reverse a Linked list.

425


What is back propagation?

321


What do you mean by graphics devices in data visualization?

314


Why is it mandatory to clean a data set?

373


What is data science with example?

333


Which language is best for text analytics? R or python?

310


What is meant by Random Forest Classifier?

301


what is prior probability and likelihood?

393