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.

with Ken Jee

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Course Overview

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.

52 High Quality Lessons
2 Practical Tasks
4 Hours of Video
Certificate of Achievement

Skills you will gain

career developmentdata analysistheory

What You'll Learn

This course delivers the skills required for gradually building a successful career in the fields of data science. You will explore invaluable insights and practices from an experienced, top-level professional. 

Explore the insights of data science  
Know what a good data science project is 
Organize your resume 
Increase your chances on a job interview 
Get insights from successful candidates for a data scientist position 
Observe resume and cover letters templates 


“Did you know that the success rate for data science applications is well below 5%? This number isn't so low because most applicants are not qualified. It's because most people don't properly showcase their work and make a compelling case for themselves to the employers. This course will teach you how to avoid these mistakes.”

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

with Ken Jee

Start Course