Not Enough Math, Simple Examples.

In this video series, Paco Nathan attempts to relate how data can be structured to take advantage of advanced math and open source tools.

Although the videos touch on some useful areas of interest, the content didn't meet my expectations with respect to explanations of the math involved and the examples are overly simplistic at less than 50 lines of python code each.

After mastering the examples, it is hard to see how a business person would make the leap to implementing data workflow based on various open source tools without knowing anything about how the underlying math works.

On the plus side, the videos list links to additional resources (books and papers) for more details. Also, the historical context to the math concepts is given in many cases.

The videos are divided into 4 sections: Abstract Algebra, Linear Algebra, Bayesian Statistics, and Optimization. A book by the same title is due out in the summer of 2014.

In summary, my preference would be for more information regarding the math and more realistic examples.