In my experience the use of notebooks (exclusively) goes hand in hand with not knowing things such as version control, tests, deployment process or dependency management exist.

I don't mean to sound harsh about other Data Scientists from a non software engineering background but the standard workflow is to fiddle around with a notebook until you can get a result. That's as far as it goes, no real robustness to it.

That's a pretty big generalisation but in organisations where they "home grow" their Data Science capability many of the online courses don't cover production level Data Science.