Data Science Career Guide Interview Preparation (ePub)

Do YOU want to work as a data scientist? Then proceed to read. The Bureau of Labor Statistics states that a data scientist makes, on average, $98,230 a year.

Over the previous three years, there has been a 31% increase in data science job ads, but only a 14% increase in data science job searches. There is a scarcity of about 150,000 data science workers as a result of this strong demand.

Data science is ranked as the #2 jobs in America by Glassdoor for 2022, and this trend is probably going to continue. One of the most in-demand careers right now is data science. It has excellent benefits and is among the highest paid. Only one out of every ten applications is approved by prestigious businesses like Google and Facebook, making it one of the hardest to get into. As a result, there are numerous difficulties in this line of work, including landing the offer letter, passing interviews, and locating your ideal position.

Interviews don't have to scare you any longer! You may prepare for questions from actual data scientists that work at prestigious businesses like Google, Facebook, Amazon, and NASA by using this book on data science interviews.

This Data Science Interview book can be used as a useful study guide before an interview, or even just to review some concepts if you are already familiar with them. In any case, it will be worthwhile because, as we all know, finding a decent job in this market is not easy! Purchase this book right away to begin preparing for your upcoming big data science interview so you don't miss out on another opportunity!

Data scientists hold a prominent position in the list of the top ten developing careers in the United States. The essential concepts of data science are succinctly, clearly, and compactly presented in this book. It offers sophisticated interview questions and answers related to data science. In order to help you strengthen your understanding and get ready for your next interview, it gave an overview of the main concepts and then a series of interview questions.

This book covers the following subjects:

• Fundamental interview questions in data science
• Interview questions for Python
• Panda inquiries
• Questions for a machine learning interview
• Interview questions for R Language
• SQL queries among numerous others.