English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 1h 24m | 809 MB
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.
Table of Contents
1 Effectively combining data science and being an entrepreneur
2 Getting started with writing using the role of the technical reviewer in authoring technical books
3 Consider being a second author or an uncredited contributor
4 How to share the burden of a book with a coauthor
5 Why you might want to be the editor of a book
6 Gain visibility by strategically choosing books to review
7 How to use blogging to amplify the benefits of your other work
8 Finding your niche in the international training marketplace
9 How do the big training companies find and work with trainers
10 The pros and cons of trying to write your own training materials
11 The excitement and cautions of international training engagements
12 Strategies for part-time training while working full time
13 Support conferences with your labor to combat high registration fees
14 Starting out as a speaker by speaking for free
15 Recruit more established presenters and copresent with them
16 The ins and out of paid conference presentations
17 Build your reputation on competition and gigs
18 A beginner’s guide to the paperwork side of consulting
19 Staff augmentation or mentoring Adopting a strategy to compete for the kinds of gigs you want
20 Why it is important to be the best student in class
21 How to leverage the many career benefits of being a part-time student or instructor
22 The growing market for university-affiliated data science teaching and curriculum development
23 Take full advantage of your temporary university affiliation by finding and working with colleagues
24 Next steps
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