Data Science Interview Questions
Questions Answers Views Company eMail

What is term Pearson’s Correlation Coefficient?

131

What is meant by feature vectors?

111

What is meant by R statistics?

114

Name Methods to Calculate Distance Measure?

121

Explain types of statistical data?

100

What functions are required to principal analysis in R?

188

What is need of principal component analysis?

176

What is meant by lattice graphs?

182

What do you understand by Linear Regression in R?

365

What are Principal components?

275

What is meant by lattice?

289

A dice is rolled twice, what is the probability that on the second chance it will be a 6?

Citi Bank,

114

On rolling a dice if you get $1 per dot on the upturned face,what are your expected earnings from rolling a dice?

70

You have two sorted array of integers, write a program to find a number from each array such that the sum of the two numbers is closest to an integer i.

Adobe,

113

How can you compute an inverse matrix faster by playing with some computation tricks?

Microsoft,

105


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Un-Answered Questions { Data Science }

What are outlier values?

134


How will you handle missing data ?

107


What skills do I need to be a data scientist?

116


Explain data preparation?

91


Which is the standard data missing marker used in pandas?

134






You are given two tables- friend_request and request_accepted. Friend_request contains requester_id, time and sent_to_id and request_accepted table contains time, acceptor_id and requestor_id. How will you determine the overall acceptance rate of requests?

129


Differentiate between univariate, bivariate and multivariate analysis?

108


Explain about the box cox transformation in regression models?

91


What are data science and analytic?

102


What is pylab?

99


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.

109


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

120


Explain how to operate on file and directory?

95


How can you assess a good logistic model?

178


What is meant by feature vectors?

111