Data Science Interview Questions
Questions Answers Views Company eMail

Explain about string parsing in R language

Google,

114

A disc is spinning on a spindle and you don't know the direction in which way the disc is spinning. You are provided with a set of pins.How will you use the pins to describe in which way the disc is spinning?

Google,

192

Describe the data analysis process.

Google,

109

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

Google,

109

Define an algorithm to discover when a person is starting to search for new job.

LinkedIn,

136

How will you prove that the square root of 2 is irrational?

Goldman Sachs,

106

Explain principal components analysis with equations.

Uber,

91

How will you compare the results of various machine learning algorithms?

Uber,

139

Implementing pow function

LinkedIn,

107

Find out K most frequent numbers from a given stream of numbers on the fly.

LinkedIn,

103

Which machine learning algorithm will you use to solve a Uber driver accepting request?

Uber,

136

What approach will you follow to develop the love,like, sad feature on Facebook?

Facebook,

152

You are given 50 cards with five different colors- 10 Green cards, 10 Red Cards, 10 Orange Cards, 10 Blue cards, and 10 Yellow cards. The cards of each colors are numbered from one to ten. Two cards are picked at random. Find out the probability that the cards picked are not of same number and same color.

Facebook,

165

Pick up a coin C1 given C1+C2 with probability of trials p (h1) =.7, p (h2) =.6 and doing 10 trials. And what is the probability that the given coin you picked is C1 given you have 7 heads and 3 tails?

Facebook,

145

Give a large dataset, find the median.

Twitter,

125


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Un-Answered Questions { Data Science }

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.

95


How do data scientists use statistics?

101


What is the difference between cluster and systematic sampling?

107


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

106


How can outlier values be treated?

165






What are the various types of selection bias?

110


What is t test?

102


What are big data and data science?

203


Why data cleaning plays a vital role in analysis?

125


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

107


How can you deal with different types of seasonality in time series modelling?

113


What is nosql? Name some examples of nosql databases.

124


Give some situations where you will use an SVM over a RandomForest Machine Learning algorithm and vice-versa?

237


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

255


Explain the differences between bivariate and multivariate analysis?

106