Linkedin Learning – Side Hustle Strategies For Data Science And Analytics Experts UPDATED June 2024
English | Tutorial | Size: 801.55 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.
RAPIDGATOR:
https://rapidgator.net/file/b3c4cca428eaffbb7b40b295400b9a0e/Linkedin.Learning.Side.Hustle.Strategies.For.Data.Science.And.Analytics.Experts.UPDATED.June.2024.BOOKWARE-SCHOLASTiC.rar.html
Leave a Reply