For the practical side, you have the book of Hadley Wickham : R for Data Science. You can read this online here : http://r4ds.had.co.nz/
This however doesn't cover the theoretical aspects, so much depends on what you want to teach. Also keep in mind that you might want to consider first whether you want to use R just for data preparation and exploration, or whether you want to teach programming in R. Both require a different approach. The book of Hadley Wickham is especially suited for the former. I can recommend the book Andrie and I wrote for the programming aspect. It's called "R for Dummies". But you can find that information also in different online sources for free. Cheers Joris On Wed, Dec 6, 2017 at 3:36 PM, Justin Leinaweaver <jleinawea...@gmail.com> wrote: > You may also find the similar discussions on the R Studio community forum > helpful. > > https://community.rstudio.com/tags/teaching > > Justin > > > > On Dec 6, 2017 8:33 AM, "Sander" <sander1...@gmail.com> wrote: > > > Dear Abou, > > > > Do you have a list of topics you'd like to discuss? > > > > Kind regards, > > Sander > > > > On Wed, Dec 6, 2017 at 2:57 PM, AbouEl-Makarim Aboueissa < > > abouelmakarim1...@gmail.com> wrote: > > > > > Dear All: good morning > > > > > > > > > I am planning to teach a course in practical data science using R, may > be > > > in Fall 2018. I am wondering if someone have some materials on data > > science > > > such as notes, R codes, and etc. > > > > > > It will be highly appreciated if they are willing to share such > materials > > > with others. > > > > > > > > > with many thanks > > > abou > > > ______________________ > > > > > > > > > *AbouEl-Makarim Aboueissa, PhD* > > > > > > *Professor of Statistics* > > > > > > *Department of Mathematics and Statistics* > > > *University of Southern Maine* > > > > > > [[alternative HTML version deleted]] > > > > > > _______________________________________________ > > > R-sig-teaching@r-project.org mailing list > > > https://stat.ethz.ch/mailman/listinfo/r-sig-teaching > > > > > > > [[alternative HTML version deleted]] > > > > _______________________________________________ > > R-sig-teaching@r-project.org mailing list > > https://stat.ethz.ch/mailman/listinfo/r-sig-teaching > > > > [[alternative HTML version deleted]] > > _______________________________________________ > R-sig-teaching@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-sig-teaching > -- ----------- Biowiskundedagen 2017-2018 http://www.biowiskundedagen.ugent.be/ ----------- Joris Meys Statistical consultant Ghent University Faculty of Bioscience Engineering Department of Mathematical Modelling, Statistics and Bio-Informatics tel : +32 (0)9 264 61 79 joris.m...@ugent.be ------------------------------- Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php [[alternative HTML version deleted]] _______________________________________________ R-sig-teaching@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-teaching