Episode 19 - Academic Data Science Portfolios

The Corresponding Author

Stephanie and John talk about the academic data science portfolios. What are they? How are they different than industry data science portfolios or more traditional academic portfolios? Also check out the bloopers at the end! Some good links about portfolios and examples are: https://davidventuri.com/portfolio, https://www.dataquest.io/blog/build-a-data-science-portfolio/. We discuss data driven curriculum vitae (CV), including the package by Nick Strayer: https://github.com/nstrayer/datadrivencv. Additional tools are the scholar (https://cran.r-project.org/package=scholar), gcite (https://cran.r-project.org/package=gcite), and rscopus (https://cran.r-project.org/package=rscopus) packages. Disclaimer: John wrote gcite and rscopus. We acknowledge the impetus for gcite was from this blog post by Jeff Leek: https://simplystatistics.tumblr.com/post/13203811645/an-r-function-to-analyze-your-google-scholar. See John and Stephanie's CVs at https://johnmuschelli.com/CV and https://www.overleaf.com/read/zkhjvkdbbpvv. Follow us at https://twitter.com/stephaniehicks, https://twitter.com/strictlystat, and https://twitter.com/correspondauth or email us at [e-mail].