Office of Advanced Research Computing

This session introduces the R statistical software environment, basic methods of data analysis, and the "tidyverse." While R is much more than the tidyverse, the development of the tidyverse packages, … Read More

Coding doesn’t have to be intimidating. Python is one of the easiest programming languages to learn, and it’s used everywhere, from apps to automation to data analysis. In this workshop, … Read More

This workshop reviews statistical tests, regression, sampling and bootstrap methods, and more. The focus here is on implementing statistics using R, with a comparison to Python techniques for accomplishing similar … Read More

Most people can relate to and understand "where" when sharing information. In this short, interactive workshop, we will explore telling the story of your research using StoryMaps or another of … Read More

Some of the tidyverse's most powerful features are its abilities to import, filter, and otherwise manipulate data. This session reviews major packages within the tidyverse that relate to the essential … Read More

Once you’ve taken your first steps with Python, it’s time to do more. In this workshop, we’ll go further into how Python can help you work with information. You’ll learn … Read More

The ggplot2 package from the tidyverse provides extensive and flexible graphical capabilities within a consistent framework.  This session introduces the main features of ggplot2. Some prior familiarity with R is … Read More

A Geographic Information System, also known as GIS, can be a very useful tool for your research by incorporating location when exploring your questions. In this short, interactive workshop, we … Read More

This workshop introduces the core concepts of Python programming, including syntax, data types, loops, and functions. Participants will gain confidence in writing simple scripts and working with Python’s basic structures.