Maybe I'm mistaken but I think most of the people interested in becoming 'data scientists' are either currently doing lots of software with an interest in stats, or people doing lots of stats with an interest in software. Given one or the other half of this list is probably already very familiar territory.

I actually found this list encouraging because the things I don't know well on that list are things I'm working on and am aware are holes in my knowledge.

But in the end the reality will always be that the people who are "real" data scientists will be the people that are actually solving real problems whether or not they can check off every bullet point on a check list.