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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,

364

How can you reduce bias in a given data set?

Airbnb,

360

How will you impute missing information in a dataset?

Airbnb,

347

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

Amazon,

347

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

Amazon,

387

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,

292

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,

328

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

Amazon,

294

How do you treat colinearity?

Amazon,

319

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

Amazon,

322

What is the difference between Stack and Queue

Amazon,

510

What is the difference between Linkedin and Array

Amazon,

426

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,

338

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,

367

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

Goldman Sachs,

346


Post New Data Science Questions

Un-Answered Questions { Data Science }

State some use cases where Hadoop MapReduce works well and where it does not.

346


Explain the decision tree algorithm?

406


What is the k-means clustering method?

376


Suppose that American Express has 1 million card members along with their transaction details. They also have 10,000 restaurants and 1000 food coupons. Suggest a method which can be used to pass the food coupons to users given that some users have already received the food coupons so far.

332


What is the best programming language to use in data science?

365


What do you mean by cluster sampling and systematic sampling?

281


Define a sql query? What is the difference between select and update query? How do you use sql in sas, python, r languages?

386


Define linear regression?

331


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.

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 to understand the problems faced during data analysis?

344


There are 8 identical balls and only one of the ball is slightly heavier than the others. You are given a balance scale to find the heavier ball. What is the least number of times you have to use the balance scale to find the heavier ball?

333


You are given a training dataset of users that contain their demographic details, the pages on Facebook they have liked so far and results of psychology test based on their personality i.e. their openness to like FB pages or not. How will you predict the age, gender and other demographics of unseen data?

339


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

359


What prior knowledge is required to become data scientist?

320