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Even in the STEM world I don't think statistics is taught all that well.

I studied Engineering a STEM subject, this was sometime ago (2000's) and at that time we were required to take a "statistics for engineers" course in the second year of the degree. The subject was mostly useless (it pretty much boiled down to "plug this data into Excel and this is how you interpret the ANOVA output").

What I really wish they focused on was regression analysis and especially non-linear regression, logistic regression etc. I had to learn all about it in the workplace after graduation.

Even the statistics knowledge we were taught was incomplete - for example I did not learn about Cross-validation at university.

talking to more recent graduates I don't think the situation has improved all that much in the intervening years.



The "STEM World" is a large one and "XXX for Engineers" courses in undergraduate university are long on material to rote memorise and short on depth required to understand and expand.

I took engineering myself, the Physics, Maths, Chemistry 110 "for Engineers" variations were shallow compared to the Math 100 etc core courses for those who wanted to study Physics, Mathematics, specialise in Chemistry, etc.

Mathematics, medical, and biology students who take statistics for epidemiology and other sensitive applications get a much better grounding in the pitfalls and meaningful operations of low dimensional summaries of high dimensional data.




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