Office of Advanced Research Computing

Register to attend this workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. Workshop content: This short course helps everyone make those … Read More

This online workshop will present a beginning level introduction to iteration, lists, and subroutines in Python, building on our Introduction to Python-1. No programming experience is necessary. Attendance at the … Read More

Part of the Data Topics series of workshops., this workshop reviews statistical tests, regression, sampling and bootstrap methods, and more. The focus here is on implementing statistics using R, with … Read More

A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions. In this short, interactive workshop, we will work through various … Read More

A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions. In this short, interactive workshop, we will work through various … Read More

This workshop is designed to equip learners with powerful tools for data analysis in Python. Participants will delve into the world of NumPy, exploring its efficient arrays and array operations, … Read More

Location can play an important part in your research. "Everything happens somewhere..." In this short, interactive workshop, we'll learn about spatial data, explore GIS (geographic information systems) data resources and … Read More

This workshop is designed to guide participants through the process of revealing hidden stories in data using Python. It focuses on using Matplotlib and Seaborn, two prominent visualization tools, for … 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

This workshop offers a brief yet comprehensive overview of essential mathematics for data science. It covers foundational statistics and probability, crucial for model understanding, and basic hypothesis testing techniques. It … Read More