This course will answer all your queries about starting your career in data science.

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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

Which is *not* a job title in the data science field?

Which is not a job title in the data science field?

**(True or False)** A model's accuracy is always the most important thing in predictive modeling.

(True or False) A model’s accuracy is always the most important thing in predictive modeling.

Which type of education is not a good choice to become a data science professional?

Which type of education is not a good choice to become a data science professional?

Which graph is not useful in univariate graphical analysis?

Which graph is not useful in univariate graphical analysis?

Which is a synonym for features in data science?

Which is a synonym for features in data science?

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: Data Science Job Outline