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103 - Worst Data Analysts Ever

103 - Worst Data Analysts Ever

FromNot So Standard Deviations


103 - Worst Data Analysts Ever

FromNot So Standard Deviations

ratings:
Length:
73 minutes
Released:
Mar 15, 2020
Format:
Podcast episode

Description

Hilary and Roger provide a respite from recent events by discussing forecasting the U.S. primary elections, Roger’s time series analysis course, R package woes, artificial intelligence, and the Hilary Parker job requirement. Show notes: Hilary’s Opinionated Analysis Development paper Support us through our Patreon page Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: http://nssdeviations.com Contact us at nssdeviations@gmail.com Podcast art by Jessica Crowell
Released:
Mar 15, 2020
Format:
Podcast episode

Titles in the series (100)

Roger Peng and Hilary Parker talk about the latest in data science and data analysis in academia and industry.