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

You might be asking, "What tools should I learn to become a data scientist?" You're expected to refer to programming or software tools. First, do not assume that programming will be enough to enter the data science world. We have two more tools as well—research and storytelling.

Discover the demanded programming and non-programming skills a data scientist should have.

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

Data Scientist's Toolbox

Research