Open Scholarship & Data Services (OSDS)

A practical introduction to the essentials of data wrangling in Python. In this workshop, you’ll learn how to turn raw, messy data into a clean, structured format that’s ready for analysis. We’ll cover the core skills you need to get started: load and inspect files in Python, work with data frames, merge data from different sources, handle missing data, extract and structure the data you need, and store it in the right format for future use. No prior coding experience required.

A hands-on introduction to data processing and analysis in Microsoft Excel. Topics covered will include basic mathematical calculations, counting cells, manipulating text, if-then statements, conditional formatting, and PivotTables. By the end of the workshop, students will have experience using both Excel’s point-and-click features and its formulas and functions to explore, transform, and summarize their data.

A hands-on introduction to the R programming language and RStudio environment for data proc

Join us at this year’s FACTS Fairs, a library open house event! Enjoy games, treats, and prizes while exploring what the libraries have to offer. Visit us on September 15 at the Main Library or September 18 at the McBay Science Library (or both!). Both events will be held from 11 a.m. to 1 p.m.

A hands on introduction to mapping using QGIS; an open source GIS software.

Join members of the Carpentries@UGA for a full-day workshop that introduces participants to essential tools for reproducible scientific analysis using Unix and R. Through hands-on, collaborative lessons, participants will learn foundational skills such as navigating the command line, managing data, writing scripts, and working in RStudio. This workshop is designed for beginners and open to any student, faculty, or staff!