Introduction to GIS with ArcGIS Online
A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring your questions. In this short, interactive workshop, we will cover basic … Read More
Office of Advanced Research Computing
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Data Visualization 2 (interactive visualizations with Shiny, including hosting a Shiny server)
Creating interactive visualizations with Shiny in RStudio, and delivering Shiny visualizations on the web and hosting a Shiny server. Supplemental materials are available.
ArcGIS StoryMaps, WebApps and Dashboards
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
R for data analysis: A tidyverse approach
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
Data science basics: introduction to Python (without the scary)
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
Data Analysis 2 (statistical tests, regression, sampling, bootstrap, and more + comparison with Python)
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
ArcGIS StoryMaps, WebApps and Dashboards
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
R Data Wrangling with dplyr, tidyr, readr, and 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
Data science basics: introduction to Python 2 – from basics to data
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
Amarel monthly maintenance
Maintenance is usually scheduled for weekdays because it often involves coordination with university facilities teams or external vendors. There may also be times when Amarel must be unavailable due to … Read More