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Listen "Data Science, Then and Now"
Episode Synopsis
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
Follow Jim Harris on Twitter: @ocdqblog
Email Jim Harris: ocdqblog.com/contact
Other ways to listen: bit.ly/listen-dbp
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
Follow Jim Harris on Twitter: @ocdqblog
Email Jim Harris: ocdqblog.com/contact
Other ways to listen: bit.ly/listen-dbp
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Three Questions for Data Analytics
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Machine Learning on Opening Day
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Home Schooling your Machine Learning Model
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Hello, World!
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