Data Science Materials]
Joris is much too modest. His book is well worth buying. ----- Forwarded message from Joris Meys <jorismeys at gmail.com> ----- Date: Wed, 6 Dec 2017 15:53:14 +0100 From: Joris Meys <jorismeys at gmail.com> To: R-sig-teaching <r-sig-teaching at r-project.org> Subject: Re: [R-sig-teaching] Data Science Materials 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 <jleinaweaver at 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" <sander1981 at 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 < abouelmakarim1962 at 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*
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-- ----------- 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.Meys at Ugent.be ------------------------------- Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php _______________________________________________ R-sig-teaching at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-teaching ----- End forwarded message -----
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