Side Hustles for Data Scientists

Episode #290, published Fri, Nov 13, 2020, recorded Thu, Oct 1, 2020

Are you a data scientist looking to branch out on your own and start something new? Maybe you're just looking for a way to work with those exciting libraries that aren't yet in play at the day job. Rather than putting everything on the line, quitting your job, and hoping things work out, maybe you should start with a side-hustle.

On this episode, you'll meet Keith McCormick, a data scientist who has many irons in the fire and he's here to tell us about different types of side hustles and why you may want to try or avoid one.

Links from the show

Keith on Twitter: @kmccormickblog
Keith on LinkedIn: linkedin.com
Keith's courses: linkedin.com
Side Hustle Strategies for Data Science and Analytics Experts course: linkedin.com/learning

Talk Python's Excel to Python course: talkpython.fm/excel
Episode transcripts: talkpython.fm

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Keith McCormick

Keith McCormick is an independent data miner, trainer, speaker, and author.

Keith is skilled at explaining complex methods to new users or decision-makers at many levels of technical detail. He specializes in predictive models and segmentation analysis including classification trees, neural nets, general linear models, cluster analysis, and association rules.

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