151: Women in Data Science & How to Help

In this episode of the SuperDataScience Podcast, I chat with R enthusiast, Lucy D’Agostino McGowan. You will hear about empowering gender minorities in the field of Data Science, learn about considering the use of propensity scores when dealing with non-randomized control samples, and learn how to use best practices in conveying information to avoid information overload.

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "151: Women in Data Science & How to Help" was published on April 25, 2018 and runs 71 minutes.

April 25, 2018 ·71m · Super Data Science: ML & AI Podcast with Jon Krohn

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Summary

In this episode of the SuperDataScience Podcast, I chat with R enthusiast, Lucy D’Agostino McGowan. You will hear about empowering gender minorities in the field of Data Science, learn about considering the use of propensity scores when dealing with non-randomized control samples, and learn how to use best practices in conveying information to avoid information overload. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/151

Episode Description

In this episode of the SuperDataScience Podcast, I chat with R enthusiast, Lucy D’Agostino McGowan. You will hear about empowering gender minorities in the field of Data Science, learn about considering the use of propensity scores when dealing with non-randomized control samples, and learn how to use best practices in conveying information to avoid information overload. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/151

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