The ultimate guide to data science interviews. Get interview-ready in just a few hours with proven strategies developed by FAANG engineers. Practice with interview questions from top companies.

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This course will answer all your queries about starting your career in data science. There is only one prerequisite to taking this course—you are learning to program or working in a job where programming is used.

In this course, your queries regarding career in data science get answered. These include career transitioning or starting, efficient job search, common mistakes that people make, educational requirements, list of topics to study, resume creation, do's and don'ts, job search sites, interview process and the types of interview questions and answers. You will learn about how to navigate through various hurdles to reach your career goals.

After completing this course, you will know how to prepare for data science interviews. Specifically, what you should do and what you should not do. This course will guide you to becoming a self-taught data scientist and speed up your learning path toward careers in data science.

Deep Dive Into Data Science Interview

Suppose you apply for a data scientist position that mentions forecasting as a key skill. Which keyword would *not* be good to mention on your resume?

Suppose you apply for a data scientist position that mentions forecasting as a key skill. Which keyword would not be good to mention on your resume?

Which action word should you _not_ use while writing your job responsibilities?

Which action word should you not use while writing your job responsibilities?

**(True or False)** You should use action words in your resume. 

(True or False) You should use action words in your resume.

Which option should you use to showcase your achievements in the data science field?

Which option should you use to showcase your achievements in the data science field?

Which is _not_ a stay-away phrase in a cover letter?

Which is not a stay-away phrase in a cover letter?

Test your understanding of the content covered in this chapter.

Getting Started

Data Science Job Outline

What to Study

Portfolio Making

Expertise and Readiness

Efficient Data Science Job Search

The Interview

Types of Questions and Answers

Epilogue

Quiz: Portfolio Making