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.

mysql.tar.gz

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 topic in mathematics is essential to learn for data science?

Which topic in mathematics is essential to learn for data science?

Parametric hypothesis testing assumes that the underlying population follows a normal distribution, whereas non-parametric hypothesis testing assumes that the underlying population follows a Poisson distribution.

Parametric hypothesis testing assumes that the underlying population follows a  Poisson distribution, whereas non-parametric hypothesis testing assumes that the underlying population follows a normal distribution.

Parametric hypothesis testing assumes that the underlying population follows an exponential distribution, whereas non-parametric hypothesis testing assumes that the underlying population does not follow the exponential distribution.

Parametric hypothesis testing assumes that the underlying population follows a normal distribution, whereas non-parametric hypothesis testing assumes that the underlying population does not follow any distribution.

What is the difference between parametric and non-parametric hypothesis testing?

What is the difference between parametric and non-parametric hypothesis testing?

**(True or False)** Dimensionality reduction algorithms and decision trees are used for the same purpose.

(True or False) Dimensionality reduction algorithms and decision trees are used for the same purpose.

True, but only if the required library/package is installed.

**(True or False)** SQL can be accessed in R and Python environments.

(True or False) SQL can be accessed in R and Python environments.

Which python library would you use to do a time-series analysis?

Which python library would you use to do a time-series analysis?

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: What to Study