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

A data scientist’s guide to 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 skilled individuals. You will learn everything you need in order 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 data science job leads
What defines a good data science project
Optimize your resume 
Increase your chances in an interview setting
Get insights from successful candidates for data science positions
Learn to use resume and cover letter templates to your advantage

Curriculum

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“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
180k+ subscribers on

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

with Ken Jee

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