Data Science Interview Questions
Questions Answers Views Company eMail

How do you handle missing values in python or r?

97

What is a document database?

176

Define a sql query? How do you use sql in sas, python, r languages?

118

Why do you need a for loop? How do you do for loops in python and r?

119

What is random forests and how is it different from decision trees?

91

What is a z test?

115

Why do you need a for loop?

104

How would churn help predict and control churn for a customer?

93

Where linear optimization is used?

95

What is an api? What are apis used for?

109

What is logistic and linear regression? Name some packages in r and python for building regression models.

104

What is t test?

100

What is the travelling salesman problem?

102

Define a sql query? What is the difference between select and update query?

128

what is json and what is xml?

106


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Un-Answered Questions { Data Science }

What is an api?

94


What is a linear regression in data science?

119


Why is data cleaning essential in data science?

98


What is advantage of using apply family of functions in r?

105


How would churn help predict and control churn for a customer?

93






How much ram do I need for data science?

85


What is the job of analytics?

111


Name the packages that are based on density based on the algorithm?

95


Differentiate between skewed and uniform distribution?

107


Do you prefer python or r for text analytics?

90


How are confidence intervals constructed and how will you interpret them?

87


How will you impute missing information in a dataset?

117


How can I achieve accuracy in the first model that I built?

77


Explain interpolation and extrapolation?

92


What is meant by feature vectors?

111