Granted it seems like it didn't stick for a large segment of folks.
(Which might be a valid thing to examine in itself: for math and science we tend to act like it's just the fact that a course is missing from the curriculum that will answer why the general population is inexperienced with it, but nearly everyone also takes composition and literature classes, and I don't feel like we can say their associated skills are really at "saturated" levels.)
A good example is regressions this is quite a common technique I rely on daily and at it certainly helps to have an understanding of slope, intercept etc.
Unfortunately my "Stats for Engineers" course at uni was not great it was pretty much focused on "this is how to interpret ANOVA output from Excel".
I've found looking at some of the more complex stats I've had to wrap my head around like Principle Component Analysis - it makes a lot more sense when you can grasp the linear algebra going on behind it.