Side Hustle Strategies for Data Science and Analytics Experts
Offered By: LinkedIn Learning
Course Description
Overview
Diversify your career prospects by integrating a side hustle with your existing responsibilities. Learn how to leverage your data science and analytics skills to work for yourself.
Syllabus
Introduction
- Effectively combining entrepreneurism and data science
- Side hustle in a changing remote-work world
- Getting started with writing using the role of the technical reviewer in authoring technical books
- Consider being a second author or an uncredited contributor
- How to share the burden of a book with a coauthor
- Why you might want to be the editor of a book
- Gain visibility by strategically choosing books to review
- How to use blogging to amplify the benefits of your other work
- Finding your niche in the international training marketplace
- How do the big training companies find and work with trainers?
- The pros and cons of trying to write your own training materials
- The excitement and cautions of international training engagements
- Strategies for part-time training while working full time
- Support conferences with your labor to combat high registration fees
- Starting out as a speaker by speaking for free
- Recruit more established presenters and copresent with them
- The ins and out of paid conference presentations
- Build your reputation on competition and gigs
- A beginner's guide to the paperwork side of consulting
- Staff augmentation or mentoring: Adopting a strategy to compete for the kinds of gigs you want
- Why it is important to be the best student in class
- How to leverage the many career benefits of being a part-time student or instructor
- The growing market for university-affiliated data science teaching and curriculum development
- Take full advantage of your temporary university affiliation by finding and working with colleagues
- Next steps
Taught by
Keith McCormick
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