In a recent episode, Nick Elprin and I laughed that "citizen data scientists" don't exist. Keith McCormick joins me today to eloquently rebut us and demonstrate the clear value of low-code/no-code tools.
Keith is:
• Data Science Principal at the enterprise A.I. consultancy Further.
• Creator of dozens LinkedIn Learning courses on machine learning and A.I. with, in aggregate, over a million students!
• Author of four statistics books.
Today’s short episode should be of interest to just about any listener. In it, Keith details:
• Common circumstances where low-code/no-code data science tools are the best option for you, even if you are a coding whiz.
• Whether citizen data scientists are myth or reality.
• How AutoML fits into the data science workflow - and why it won't replace data science teams.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.