From the one data science course I took: compared to a traditional stats class, there is a bit more focus on data acquisition and pre processing, and more usage of our of the box tools, a bit less on some of theory (I don’t recall hearing about type I and type II errors).
Of course, since it was a professional course there is probably the assumption that students already know these things…
Of course, since it was a professional course there is probably the assumption that students already know these things…