
This workshop covers best practices for organizing and documenting your digital projects for robust, reproducible research. Topics
covered will include data documentation, forms of metadata at both…


This workshop explores basic, practical applied statistics using the R
statistical programming language. On the first day we’ll focus on common
procedures like assessing the distribution of…


This workshop explores basic, practical applied statistics using the R
statistical programming language. On the first day we’ll focus on common
procedures like assessing the distribution of…


This workshop covers the fundamentals of using version control for
reproducible research. Topics covered will include installing the Git
versioning control software locally, initiating a local…






This workshop focuses on the basics of working with Large Language
Models (LLMs) as part of the research pipeline, including understanding
and interrogating the models themselves as well as…


This twopart workshop series provides an introduction to using R for
two popular machine learning techniques: clustering and
classification. Clustering involves identifying groups of similar…


This twopart workshop series provides an introduction to using R for
two popular machine learning techniques: clustering and
classification. Clustering involves identifying groups of similar…


This 2part workshop series for intermediate R programmers focuses on
how to load and prepare data for analysis. We’ll explore how to screen a
data set for potential problems with its…


This workshop provides an overview of the utility and base SQL
commands for working with data in a relational database. We’ll focus on
querying data to get to know a database and answer…


This workshop provides an overview of the utility and base SQL
commands for working with data in a relational database. We’ll focus on
querying data to get to know a database and answer…


This 2part workshop series for intermediate R programmers focuses on
how to load and prepare data for analysis. We’ll explore how to screen a
data set for potential problems with its…


We often see that values observed in
closer spatial proximity are more alike than those from distant
locations, and thus the data may not be independent. This can cause
problems, and…


Learn how to create and customize professionalquality, interactive
maps in R shiny. Allow users to explore data, provide both spatial and
nonspatial inputs, and receive personalized…


This introductorylevel workshop will
focus upon the fundamental concepts and skills needed to explore and
analyze data using Geographic Information Systems (GIS) software with
examples using…
