Yeah, I'd probably remove compilers, and add classes on statistics, experimentation and actual data analysis.
I kinda find it hilarious that there is no mention of analysing data in this course, given that that is a core skill that all data professionals actually need. I mean, where do they think the models come from?
There's also little to nothing about ETL, which is pretty much all you do in most data sciencey jobs.
I actually think that this course is pretty revealing of the worldview of a lot of AI researchers, and may be why predictions of AI's imminent dominance across multiple fields appear to be not particularly accurate.
> "There's also little to nothing about ETL, which is pretty much all you do in most data sciencey jobs."
Maybe one could design a custom "Databases and ETL" class for this, to make it useful for more than just data-sciencey jobs. ETL is usually covered to some extent in stats classes though, AIUI.
I kinda find it hilarious that there is no mention of analysing data in this course, given that that is a core skill that all data professionals actually need. I mean, where do they think the models come from?
There's also little to nothing about ETL, which is pretty much all you do in most data sciencey jobs.
I actually think that this course is pretty revealing of the worldview of a lot of AI researchers, and may be why predictions of AI's imminent dominance across multiple fields appear to be not particularly accurate.