70/20/10 model for upskilling at US FDA
Data Science Hangout with Kevin Snyder & Raju Rayavarapu @ U.S. FDA to chat about democratizing data science and utilizing principles of systems biology, pharmacology, toxicology, bioinformatics, and statistics to collaboratively develop open-source software solutions that support decision making and policy development. ️ Join us live at the Data Science Hangouts on Thursday from 12-1 ET: pos.it/dsh
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Transcript#
This transcript was generated automatically and may contain errors.
basic applied science model of 70-20-10. 70% is experiential where you actually have to put your fingers to the keys and have your code implode because we want them to understand that it's not going to be something where they can just write a piece of code and it's going to be magic every single time. Most of the time they're going to spend their time wondering what this weird error is or how why my data exploded. 20% of it is with relationships with their mentor so we pick somebody that we find to be a champion for data science and somebody that we think could really guide people through their learning process and their job is to essentially help them find answers not necessarily give them answers. So we do a 20% piece there and 10% we give them formal lessons and lectures whether that be via the R platform, whether it be YouTube, whether it be Stack. I'll sometimes just send people straight up Stack Overflow notes being like check this out read this and see if you can understand something in there.
their job is to essentially help them find answers not necessarily give them answers.