Managing Ecological Data in R. 8.2 credits

Catalog description

Tools that researchers typically use to manage small datasets are difficult, and sometimes even impossible, to implement when data grow to a certain size or complexity. As big data increasingly becomes a component of ecological study, there is a growing need to understand how to maintain large and complex datasets, prepare data for analysis, and develop a reproducible workflow. In this asynchronous online course, we will explore the science of data using Program R to determine how to best manage ecological data. We will focus on the structure and linguistics of data in R, how to integrate R into a data science workflow, and explore how to think about ecological data in new ways. Through a series of interactive lectures, guided analyses, and activities, students will gain a flexible toolkit for managing and exploring ecological data. Offered by Provost's Office . May not be repeated for credit.