Data Science Interview Questions
Questions Answers Views Company eMail

How do you treat multicollinearity and heteroscedasticity in regression?

113

What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression?

84

What is an api?

94

What is nosql? Name some examples of nosql databases.

124

How do you build a custom function in python or r?

118

What is missing value imputation?

124

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

99

How do you check for data quality?

107

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

107

What is column storage? What is a document database?

128

What is association analysis? Where is it used?

101

How do you use goal seek in excel?

109

What is chi square test?

106

What is churn?

113

Where is association analysis used?

117


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Un-Answered Questions { Data Science }

Explain k-mean?

97


What are you employed pip?

113


How will you drop variables using indices in a data frame?

138


What do you understand by Ordinary Least Squares Linear Regression?

98


Explain data wrangling?

104






A test has a true positive rate of 100% and 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?

245


How is data science different from data analytics?

100


How and by what methods data visualizations can be effectively used?

101


What are an eigenvalue and eigenvector?

91


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

116


Can you explain data munging or data wrangling?

98


Can you explain data preparation?

100


How many big Macs does McDonald sell every year in US?

98


What is column storage? What is a document database?

128


Define convex hull?

94