Advanced Data Analysis from an Elementary Point of View by Cosma Rohilla Shalizi. (8 January 2014)
From the introduction:
These are the notes for 36-402, Advanced Data Analysis, at Carnegie Mellon. If you are not enrolled in the class, you should know that it’s the methodological capstone of the core statistics sequence taken by our undergraduate majors (usually in their third year), and by students from a range of other departments. By this point, they have taken classes in introductory statistics and data analysis, probability theory, mathematical statistics, and modern linear regression (“401”). This class does not presume that you have learned but forgotten the material from the pre-requisites; it presumes that you know that material and can go beyond it. The class also presumes a firm grasp on linear algebra and multivariable calculus, and that you can read and write simple functions in R. If you are lacking in any of these areas, now would be an excellent time to leave.
I last reported on this draft in 2012 at: Advanced Data Analysis from an Elementary Point of View
Looking forward to this works publication by Cambridge University Press.
I first saw this in a tweet by Mark Patterson.