Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process

A data scientist’s guide on landing a data science job: portfolio, resume, and interview tips and techniques.
Hours

4

Lessons

52

Quizzes

0

Assignments

0

Course description

This course provides you with invaluable insights directly from a top-level data scientist with first-hand experience in recruiting data scientists for his team. You will learn everything you need to get a competitive edge over other job candidates and start a career in data science: how to create your data science project portfolio, build your resume, get an interview through networking, succeed during the phone interview, solve the take-home test, and ace the behavioral and technical questions. The course also offers you resume templates, downloadable materials, helpful infographics, as well as a section on how to optimize your LinkedIn, Github, and Kaggle profiles for recruitment purposes.
1

Course Intro: What Is Data Science

An overview of the whole data science job market. The section covers the technical and non-technical skills you need, types of roles in data science, the interview process structure, as well as what employers look for in a candidate.

3

The Resume

Here, you will learn how to organize your resume, both virtual and hard copy, as well as what you should include to make a lasting impression on prospective employers. The section also includes a downloadable resume template - a great starting point if you haven't created a data science resume yet.

5

The Phone Interview

Here, you will learn what to expect in data science phone interviews and discover some of the proven techniques on how to prepare for and succeed through this phase.

6

The Take-Home Test

This section gives you insight into the three types of take-home tests you can be given at this stage of the interview process. You will find out how to deal with data sets assignments, solve coding quizzes, and master the written test.

7

The In-Person Interview

A detailed walk-through of the three different types of interviews - the behavioral, the in-person assessment, and the technical questions. This section comprises the best tips on how to ace the in-person interview and introduces you to the Briefcase Method – an interviewing technique that will certainly set you apart.

8

Bonus Content: Interview with Successful Data Scientists

Here, you will get an inside look into the mind of successful candidates and how the interview process actually works. The section involves exclusive mock-interviews and 1-on-1 conversations with professionals who have successfully landed data science positions - an invaluable shortcut to a career in data science.

9

Bonus Downloadable Materials

This bonus section comprises a variety of valuable downloadable resources: resume and cover letter templates and samples, reach-out templates and examples, a networking guide, as well as a complete guide with real data science interview questions and answers.