I feel like lists of resources are OK, but with something like data science, which has its own branches and specialities, it would be good to have some kind of stack ranking of topics and information beyond just 'start here'. That way, a reader gets more and more conversant with the different ideas being thrown around.

Also, I don't have a list of these handy, but I've found long annotated notebooks/blog posts of worked data science examples very helpful for refreshing my memory on applied techniques. http://derandomized.com/ is a great example, maybe other HN readers have some favourites we could add.