50 Data Science Questions Asked in Interviews

Walkthrough some common data science questions asked in interviews

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Data Scientist is one of the most demanding roles in the IT industry these days. The popularity of data science has been increasing over the years. Many companies are hiring data scientists to grow their business and increase customer satisfaction.

Data, referred to as the Oil of the 21st century, allows data scientists to make decisions based on the pattern present in the data. Data scientists must have skills such as statistics, mathematics, machine learning, and database.

This article is for you if you are preparing for a data science interview. These questions will help you to know how much you are ready for the interview.

I have come up with the 50 most common and important questions asked in data science interviews. Let’s get started!

1. Explain what regularization is and why it is useful?
2. What is the p-value in statistics?
3. What are outlier values and how do you treat them?
4. What is root cause analysis?
5. Explain the role of data cleaning in data analysis.
6. What do you understand by the term Normal Distribution?