Learning Never Stops for Data Scientists
So Much to Learn
It’s been about 5 years since I started my data science career. I’m still learning new skills, techniques, and technologies almost every day. In fact, data science is such a diverse and complex field that I suspect I will never stop learning.
And I’m not alone. Actually, I’ll go out on a limb and say that every data scientist has skill gaps, no matter how senior. New technologies are constantly emerging, and the cutting edge is advancing rapidly.
Strategic Learning
So how can we as data scientists be strategic and intentional with our professional development time? It may be fun to go down a rabbit hole learning about the latest language models (GPT-3) or advancements in self-driving cars, but will it bring you any closer to achieving meaningful career goals?
I hope to solve this problem with a new tool I’m building called Skillenai. Skillenai is a professional development coach that will help you create an action plan based on your skills and goals. This personalized career assistant will recommend learning resources and track your progress toward career goals.
If you’re a data scientist and might be interested in using Skillenai (or in helping build it), connect with me.
