[achompas]

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-lear...