[Plsgs] FW: R labs in December

[Lambert, Georgina M - (glambert)]

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All sessions will be 9-11 am (MST) on Tuesday through Zoom at https://arizona.zoom.us/j/437855363. To get the most out of these workshops, participants should bring a laptop with R and RStudio installed<https://jcoliver.github.io/learn-r/000-setup-instructions.html>. If you miss a session, you can always check out the collaborative blog at https://hackmd.io/@jcoliver/SJVjEsOZw, with helpful tips that come out of discussion sessions.

  *   December 01: Open R lab: Bring your R questions or just come in to write some code.
  *   December 08: Introduction to Machine Learning in R with tidymodels: During this workshop we'll work on a classification problem using the tidymodels package in R to learn how to partition and pre-process data, perform algorithm selection, and tune and compare models. Workshop attendees should have a beginner to intermediate-level proficiency with R, and should come with R and RStudio installed, as well as the tidymodels and tidyverse packages (and dependencies) installed.
  *   December 15: Open R lab.
  *   December 22: No R session this day.
  *   December 29: No R session this day.

Additional resources:

  *   A tentative schedule of upcoming workshops is also available at https://jcoliver.github.io/learn-r/schedule
  *   Want more help? Sign up for the UA Data Science Slack workspace at https://jcoliver.github.io/uadatascience-slack/
  *   Stay up to date with R workshops by signing up for the University of Arizona R Users mailing list at https://list.arizona.edu/sympa/subscribe/ruaz
  *   Find even more data science resources at the Data Science Institute's events page at https://datascience.arizona.edu/events


Cheers,

Jeff


Jeffrey C. Oliver, Ph.D (he/him/his)
Data Science Specialist
Office of Digital Innovation & Stewardship
University of Arizona
Tucson, AZ 85724-5079
GitHub jcoliver<https://github.com/jcoliver>
ORCID 0000-0003-2160-1086<https://orcid.org/0000-0003-2160-1086>
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