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Data Science Interview Questions
Questions Answers Views Company eMail

What will you do if removing missing values from a dataset cause bias?

Airbnb,

327

How can you reduce bias in a given data set?

Airbnb,

326

How will you impute missing information in a dataset?

Airbnb,

310

Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.

Amazon,

304

How will inspect missing data and when are they important for your analysis?

Amazon,

349

How will you decide whether a customer will buy a product today or not given the income of the customer, location where the customer lives, profession and gender? Define a machine learning algorithm for this.

Amazon,

267

From a long sorted list and a short 4 element sorted list, which algorithm will you use to search the long sorted list for 4 elements.

Amazon,

302

How can you compare a neural network that has one layer, one input and output to a logistic regression model?

Amazon,

262

How do you treat colinearity?

Amazon,

294

How will you deal with unbalanced data where the ratio of negative and positive is huge?

Amazon,

298

What is the difference between Stack and Queue

Amazon,

456

What is the difference between Linkedin and Array

Amazon,

372

You are about to get on a plane to Seattle, you want to know whether you have to bring an umbrella or not. You call three of your random friends and as each one of them if it's raining. The probability that your friend is telling the truth is 2/3 and the probability that they are playing a prank on you by lying is 1/3. If all 3 of them tell that it is raining, then what is the probability that it is actually raining in Seattle.

Facebook,

298

You have been given the data on Facebook user's friending or defriending each other. How will you determine whether a given pair of Facebook users are friends or not?

Facebook,

316

Estimate the number of square feet pizza's eaten in US each year.

Goldman Sachs,

310


Post New Data Science Questions

Un-Answered Questions { Data Science }

What is linear optimization?

283


What is the correlation in r?

296


What are eigenvectors and eigenvalues?

376


What is advantage of using apply family of functions in r? How do you use lambda in python?

327


How can I become a data scientist?

315


Can you explain collaborative filtering?

403


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?

435


What are the applications of data science?

332


What is the common perception of visualization?

255


Explain the difference between sas, r and python programming?

295


What do you understand by the term data science?

311


What do you understand by Poisson distribution?

288


Explain how to operate on file and directory?

293


How do you understand by bias variance trade off?

281


Where is association analysis used?

344