Hop down the rabbit hole with your host Michael Bagalman and uncover the tangled roots from whence data science grew!
Journey back to the 60s statistics split that led pioneers like John Tukey to carve an applied path different from the mathematical ivory tower. Learn how the modern phrase "data science" first percolated abroad before reaching American shores. Trace tensions between data modeling and algorithmic camps, with outspoken statisticians like Leo Breiman calling for a paradigm shift. Follow data science’s emergence in tech titans like Google and explosive growth after the famed Netflix competition.
Despite current domination by computer scientists, see openings for statisticians and domain experts to yet claim a seat at the table in this ever-evolving field that extracts practical value from the exponential explosion of data.