I think that the logic is that a business professional will benefit more from what a specialized language like R can offer than from the general purpose stuff. The manager is not going to code a website or an accounting database (where the general purpose languages would be useful), however, they may need some sophisticated business analyses or reports that nobody else can do for them - and R is very good for that.
On the other hand, learning R without learning (and understanding) statistics is pretty much pointless and that is *much* harder task than learning the language. Lot of people buy SPSS (a tool similar to R, just with a nice UI) for a lot of money, then load random data and start pressing buttons following some sort of cookbook/cheatsheet. Random numbers come out and then they wonder why their "analysis" doesn't match the reality. Then they go and hire expensive business consultants - who do the same thing while spouting jargon, only charge for it a lot more.
R is a very powerful tool, but without a solid background in statistics and data analysis it is like giving a scalpel to hospital nurse and declaring her a brain surgeon