Early in 2019 I posted a short 'listicle' with some of the key reasons I think Python and/or R should become essential tools in a modern policy analyst’s toolkit. The full article is here, but the headline points in the article were; R programming’s use across disciplines fitting in well with multidisciplinary policy analysis teams; the greater reproducibility/transparency written code provides; and the practical advantages that can come from automating repetitive bits of policy analysis (such as reporting results of policy analysis across multiple scenarios). While the article didn’t end in me getting a book deal, it did result in…
7 Reasons for policy professionals to get into R programming in 2019
In response to how popular this post was, I've run several crash courses on using R for policy analysis. However, the demand to participate in these sessions has exceeded what's practical, which is why I'll be launching the first fully online version of the course in 2023. To learn more and sign up go to PolicyAnalysisLab.com Note: A version of this article was also published via LinkedIn here and on Medium here. With the rise of ‘Big Data’, ‘Machine Learning’ and the ‘Data Scientist’ has come an explosion in the popularity of using open-source programming tools for data analysis. This…