Side Hustle Strategies for Data Science and Analytics Experts
With Keith McCormick
Liked by 1,742 users
Duration: 1h 24m
Skill level: Intermediate
Released: 4/14/2020
Course details
The most common way to start a career in data science is to master the technical aspects of the job and then apply to work at a large company. But many of the most successful data scientists are also entrepreneurs that work for themselves. In this course, discover how to diversify your career prospects with a side hustle. Instructor Keith McCormick shows how to leverage your data science and analytics skills in a variety of ways—from writing books to delivering talks at conferences.
Keith steps through how to jump-start your side hustle in writing by serving as a technical reviewer for technical books. He explains how to use your data science and analytics expertise to become a paid presenter at conferences. Plus, he covers how to build your reputation as a consultant, become a part-time instructor at a university, and more. Along the way, Keith shares tips and strategies for making the most of these new ventures once they've become part of your professional portfolio.
Keith steps through how to jump-start your side hustle in writing by serving as a technical reviewer for technical books. He explains how to use your data science and analytics expertise to become a paid presenter at conferences. Plus, he covers how to build your reputation as a consultant, become a part-time instructor at a university, and more. Along the way, Keith shares tips and strategies for making the most of these new ventures once they've become part of your professional portfolio.
Skills you’ll gain
Meet the instructor
Learner reviews
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Hang Sam Nang (Dr. Thomas Hang)
Hang Sam Nang (Dr. Thomas Hang)
Senior Digital Transformation Consultant Expert
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Contents
What’s included
- Learn on the go Access on tablet and phone
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