Everyone says they don't just want warm bodies to type code, but lots and lots of places actually do just want warm bodies to type code.
Since this is what wins average-case jobs, this inevitably is what average-case products of bootcamps and universities tend to look like.
I actually had a pretty long debate with a professor friend of mine who taught me numerical analysis as an undergrad. Their whole scientific computing program has morphed into this awful mess of basically just teaching various Hadoop tool APIs and Spark. As an alum, I am in concerned.
He hates it too, and feels the students are not getting anything resembling a good education in scientific computing. But at the university's considerable career fair, where the faculty actually spend a lot of time talking to recruiters and employers, all they hear is we want more people who already know framework X, library Y, etc. They don't care if you even know what LU decomposition is, what issues there are using power method for eigenvalues, let alone anything about the actual hardware specification for basic numerical types and issues with precision. I mean, they don't even care if you have the slightest fluency or naive understanding of that stuff. Literally zero understanding is fine, as long as you have memorized sections of certain APIs that they use and you will not complain if your job is drudgery related to rote usage of those APIs.
Since this is what wins jobs, it's what they teach.