We're working on it! Next up: Data analysis. Which ones would you like to see?
As a theoretical, how about medicine, pharmacology, every flavour of engineering, fine art, music, architecture.
Coding, graphic design seem to have a few things going for them that make them a very natural fit for self learning online. Part of it is not needing much outside of a laptop and an internet connection, but math needs even less and you find far fewer autodidact mathematicians.
I suspect that not needing a curriculum is actually a part of it. I don't dispute that having a curriculum available to you can be useful and that following a curriculum will get you from start to finish will probably give you a relatively efficient, high success rate path. But, I think that the more self contained and small an effective quanta of learning is, the more suited it is to self learning.
That said, we're in this for the long haul, and we definitely want to try and push the boundaries in areas other than software/technology down the road.
We'll work on structure / organization and release an updated version later this week.
BTW, as a side note. I think a great idea for a data course would be
Learn to make http://xkcd.com/980/ as its starting point.
Where does he get this data. How does he work with it. Why is it represented like this.