As part of my stats learning I decided to go over my old college text book. Bit out of date at this stage. It refers to pencil and paper and even log graph paper. That said it is well written and was on my shelf. It only took a couple of hours to go over it and refresh my mind. Turns out I understood it better then I thought at the time :) I didn't spend too much time on it as I reckon the online stuff is going to be better.
I started yesterday with the manuals for R. They are pretty good, but not the most exciting way to get to grips with the system. I tried out a course from Code School this morning and it is excellent. It's called 'Try R' and is sponsored by O'Reilly. The course is here. It's free and well worth the time so far.
O'Reilly gives you a bunch of resources related to big data - which I suppose is the reason why I am doing this. The O'Reilly Try-R page is here. I have started reading Big Data Now on my Kindle. Its a free e-book.
Hopefully I will get to the point of being able to import real data into R soon. There are plenty of open data initiatives around (this for example), so there is bound to be something interesting in there.
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