Data Science, Then and Now

Back in 2012, Harvard Business Review declared Data Scientist was The Sexiest Job of the 21st Century. Less than a year later, I recorded a podcast discussion with an actual data scientist and Ph.D. Statistician, Dr. Melinda Thielbar, during which she discussed what a data scientist actually does and provided a straightforward explanation of key concepts, such as signal-to-noise ratio, how statistical results should be presented and explained to various audiences, uncertainty, predictability, experimentation, and correlation.

This episode is an edited and slightly shortened version of that discussion, which even though it is from nine years ago, I think it still provides good insight into data science, then and now. 

 

Extended Show Notes: ocdqblog.com/dbp

 

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Other ways to listen: bit.ly/listen-dbp