I don't notice an effort to expand the workforce by training or by recruitment of non-traditional workers, etc. "Code Year" for data scientists would actually

I don't notice an effort to expand the workforce by training or by recruitment of non-traditional workers, etc. "Code Year" for data scientists would actually need: -- "Code Previous Year," where everyone would need to kick ass on Bayesian inference, linear algebra, and production-level software development; then, -- during "Code Year," they'd proceed to learn about distributed algorithms, graphical models, and HMMs, then learn about distributed frameworks like Hadoop. See Joseph Misti's comment here for more--it's really the most accurate list of skills one needs to become a data scientist: http://www.quora.com/What-skills-are-needed-for-machine-learning-jobs http://www.quora.com/What-skills-are-needed-for-machine-lear...