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.
Skill Level General
- Did you know that side hustle in data science is at least 120 years old? The famous student's t-distribution was first described by William Gosset who's day job was being a scientist for Guinness the famous beer company, but he wrote statistical papers on the side that were so influential that he's considered to be one of the most important statisticians of the 20th century. I've bet that you've thought about doing some extra work on the side, or maybe doing nothing but side hustle. But maybe you don't know what opportunities you have as a data scientist or analytics expert. And I agree, sometimes it's tough to know where to start. This is where I can help. In any given year I might work for a dozen different clients. It keeps the work varied, I get to travel all over the world and while I constantly have to hustle for new work, I have job security in knowing that my work doesn't rely on any one relationship or client. My name is Keith McCormick and for almost 30 years since graduating college virtually all of my income has been as an independent contractor. My data science work has included training, consulting, writing, and speaking. But almost always as an entrepreneur and only rarely as a full time employee. I think that data science is especially well suited to working for yourself. So join me as I share some of my experiences and tell you what I've learned along the way.