[Plsgs] Fwd: R labs in November

[Mark A Beilstein]

*R Lab Sessions - from Jeff Oliver*

*All sessions will be 9-11 am (MST) on Tuesday*. Sessions will be offered
in hybrid format: we will be in the Data Studios of the Main Library
<https://new.library.arizona.edu/visit/spaces/data-studio> and running a
concurrent Zoom session 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>.

   - November 07: *Open R/Python lab*: Bring your R or Python questions or
   just come in to write some code.
   - November 14: *Git and GitHub with RStudio*: Ready to stop e-mailing
   code to your collaborators? Want a better way of keeping track of the
   changes you make on your programming projects? The Git system is designed
   to make collaboration easier and more transparent. This lesson provides an
   introduction to the version control system Git, one central sharing point
   called GitHub, and how you can use the two in RStudio.
   - November 21: *Open R/Python lab*.
   - November 28: *Data science: more fun, less pain with tidyverse*: R is
   a powerful language for managing, analyzing, and visualizing complex data.
   However, some of the commands in R are esoteric or just plain confusing.
   The tidyverse (https://www.tidyverse.org/) package for R includes
   several helpful functions that make it easier to manipulate, summarize, and
   visualize your data. In this lesson we’ll use these functions to create
   plots from summary statistics.

Additional resources:

   - A tentative schedule of upcoming sessions is also available at
   https://jcoliver.github.io/learn-r/schedule
   - Even more data science events can be found on the Data Science
   Institute’s events calendar at https://datascience.arizona.edu/calendar
   - 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
   - If you cannot make it to the R session or just want more R, check out
   former Data Science Ambassador
   <http://datascience.arizona.edu/ambassadors> Kelsey Gonzalez’s lessons
   on YouTube at
   https://www.youtube.com/playlist?list=PL6FsZxVq54ERrlMRNE5aq2qUFH042fbuM.



Cheers,

Jeff


Jeffrey C. Oliver, Ph.D (he/him/his)
Data Science Specialist
Data Cooperative <https://data.library.arizona.edu/>
Research Engagement, University Libraries
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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