Silent Reading Book Club
No stress reading club. Read anything you would like (we'll have options). Then discuss with friends!
No stress reading club. Read anything you would like (we'll have options). Then discuss with friends!
Enhance your data visualization journey with our exciting Python for Data Visualization workshop! Join Ph.D. student and RCDM RA Larissa do Carmo Inacio for a hybrid (Zoom + in-person) session where you’ll explore libraries like Matplotlib, Seaborn, Numpy, and many more. Whether you’re just starting out or eager to sharpen your skills, this workshop is a wonderful opportunity to boost your ability to create eye-catching visual representations of data.
Join Ph.D. candidate and RCDM graduate student Keiko Bridwell for an in-person workshop on using dplyr in R for data manipulation. Dplyr is the premier library for data science techniques and data wrangling in R. No prior experience required.
Need data? Join our workshop on finding reliable, trustworthy sources of data. Available over zoom and at the Main Library Instruction Lab (1st Floor).
Do you have a specific EndNote question or problem you need assistance with? Drop-in to the Main Library and meet with an expert to get information, troubleshooting, or training.
Note: Simultaneous alternate location at the McBay Science Library. See Events.
Do you have a specific EndNote question or problem you need assistance with? Come to the Main Library Data Studio, formerly the DigiLab, in Room 300 for information, troubleshooting, or training.
Learn about resources provided by the UGA Libraries and the Digital Library of Georgia for accessing newspapers and news resources — including current and historical, U.S. and international, and both general news sources along with specialized publications such as African-American newspapers — through online databases, digital archives, and microfilm collections.
RCDM is partnering with R-Ladies Athens to offer discussions and techniques on R for
RCDM is partnering with R-Ladies Athens to offer discussions and techniques on R for