(image source: Cîteaux Moralia in Job)

An incomplete compendium (yes, that's an oxymoron) of resources that cover data science topics (a.k.a. statistics, econometrics, actuarial science, etc.). These will cover general theory, methodology, applications, and R tools and methods. The listing is not intended to be comprehensive, but will be resources I find as part of my projects or random happenstance. The emphasis will be on web resources, although published texts will also be included where appropriate.

The ebook can be found on bookdown.org, here: https://bookdown.org/martin_monkman/DataScienceResources_book/

Thanks for noticing!

Stumbled upon 'Data Science with R: A Resource Compendium', compiled by @monkmanmh. A treasure trove of informative and insightful resources! Ping @EngelhardtCR @Dorris_Scott @kierisi #rstatshttps://t.co/0EW4XTu5aD

— Jacquie Tran (@jacquietran) May 1, 2019