http://www.kaggle.com/wiki/Tutorials

http://metaoptimize.com/qa/questions/186/good-freely-availab...

I think the best single resource is Kevin Murphy ML text, but there's lots of relevant stuff on linear algebra, Bayesian analysis etc

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Here's a "curriculum"

http://blog.zipfianacademy.com/post/46864003608/a-practical-...

And look at the coursera courses by Koller, Andrew Ng, NLP by Collins etc

Basically statistical methods that work with big datasets, which is the core of data science.

http://infolab.stanford.edu/~ullman/mmds.html