Data Science Interview Questions
Questions Answers Views Company eMail

What are the different deep learning frameworks?

104

What is the supervised learning?

110

A jar has 1000 coins, of which 999 are fair and 1 is double headed. Pick a coin at random, and toss it 10 times. Given that you see 10 heads, what is the probability that the next toss of that coin is also a head?

1153

Is 8gb ram enough for data analysis?

99

What is the best laptop for data science?

97

How much ram do I need for data science?

85

Which laptop is best for data analysis?

94

What laptop should I buy for data science?

98

Is macbook good for data science?

98

Can you explain unsupervised learning?

94

Can you explain eigenvalue and eigenvector?

112

Can you define power analysis?

109

How do you treat missing values during analysis?

97

Can you explain collaborative filtering?

113

Which one would you prefer for text analytics python or r?

105


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Un-Answered Questions { Data Science }

what is prior probability and likelihood?

89


Explain the decision tree algorithm, and how is it different from the random forest algorithm?

96


You are given a training dataset of users that contain their demographic details, the pages on Facebook they have liked so far and results of psychology test based on their personality i.e. their openness to like FB pages or not. How will you predict the age, gender and other demographics of unseen data?

106


Why is it mandatory to clean a data set?

146


What are numpy, scipy, and spark essential datatypes?

105






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

98


Do you need a teacher to be a scientist?

105


Why is data cleaning essential in data science?

98


How will you explain JOIN function in SQL to a 10 year old ?

159


Name three types of biases that can occur during sampling?

113


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

116


Which one you prefer R or Python for text analytics?

139


What are essential skills and training needed in data Science?

131


A stranger uses a search engine to find something and you do not know anything about the person. How will you design an algorithm to determine what the stranger is looking for just after he/she types few characters in the search box?

212


What are distance measures in R statistics?

137