Are you curious about how R* programming can help streamline your data manipulation? This interactive, hands-on session will expose participants to working with the dplyr and tidyr packages in R's tidyverse to efficiently prepare and perform basic operations on a wide variety of datasets. This course is available to ALL participants- no prior R programming knowledge is necessary.

***Please note that if you would like to use your own laptop during the session, prior installation of both R and RStudio software is required. Free downloads of both programs are available for Windows, Mac, and Linux users. Assistance with installing these programs is available by dropping in either in-person or Zoom with an AU I&RC DataSpace consultant. Consultant availability can be found at this link: https://libguides.auburn.edu/dataspace
•    R can be downloaded through the CRAN repository at this link: https://cran.r-project.org/
•    RStudio IDE (Open Source Edition) can be downloaded through the developer website at this link: https://posit.co/products/open-source/rstudio/

*R is a free and open-source programming language originally developed for statistical analysis. Its popularity has led to the growth of a worldwide community of users and multiple applications. R can run on Windows, MacOS, and Linux computers. Scholars in particular appreciate its contribution to reproducible research, but it is also employed by data scientists in the private sector.