Data Scientist Career Path: How to Grow and Succeed 🚀

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Will Data Science Die in 5 Years?: https://youtu.be/VQq8DwEJeoU

In this video, I talk about the career path for a data scientist across three horizons: a short term of 1-5 years, a medium term of 5-10 years, and a long term of 10+ years.

Links:

"Data Science is Dead" - Alexs Thompson: https://www.linkedin.com/pulse/data-science-dead-alexs-thompson/
"Data Science Career Path & Progression" - Julien Kervizic: https://medium.com/analytics-and-data/data-science-career-path-progression-ab5140cfbc84
"Progression of a Data Scientist" - Sequoia: https://medium.com/sequoia-capital/progression-of-a-data-scientist-e1bebf8c8420
"The AI Hierarchy of Needs" - @mrogati: https://hackernoon.com/the-ai-hierarchy-of-needs-18f111fcc007
"Becoming a Level 3.0 Data Scientist" - Jan Zawadzki: https://towardsdatascience.com/becoming-a-level-3-0-data-scientist-52641ff73cb3
"CIOs Must Lead the Data Science Charge": https://www.cio.com/article/3400637/cios-must-lead-the-data-science-charge.html
"How to Become a CTO" - Maryville University: https://online.maryville.edu/online-masters-degrees/cyber-security/careers/become-a-cto/
"Can Data Scientists Become CEO?" - Jeremy Wyatt: https://www.linkedin.com/pulse/can-data-scientists-become-ceo-jeremy-wyatt/
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