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.
Side Hustle Strategies for Data Science and Analytics Experts
Overview
Syllabus
Introduction
- Effectively combining data science and being an entrepreneur
- 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
