Data Science Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

Data Science Interview Questions

Questions Answers Views Company eMail

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

What do you mean by word data science?

112

What are the differences between overfitting and underfitting?

111

What is bias – variance tradeoff?

What is cluster sampling?

Explain the difference between overfitting and underfitting?

113

What is k-means?

128

Define some key performance indicators for the product

What is k-means? How can you select k for k-means?

What do you understand by term hash table collisions?

What are the variants of back propagation?

107

How has your prior experience prepared you for a role in data science?

What is systematic sampling?

How to understand the problems faced during data analysis?

How is data modeling different from database design?

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Un-Answered Questions { Data Science }

What is the basic responsibility of a data scientist?

What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.

111

What is the difference between an analyst and a data scientist?

What is the best laptop for data science?

Write the formula to calculate r-square?

117

How will you fix multi-colinearity in a regression model?

101

Why we need ggplot?

123

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

105

Which package is used to do data import in r and python?

114

What do you mean by p-value?

When do you need to update the algorithm in data science?

Is anaconda free?

108

Do you prefer python or r for text analytics?

State the difference between the expected value and mean value?

What are eigenvectors and eigenvalues?

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