In this twelve-part series, students will use an assortment of statistical tools and methods to analyze data from public databases or their own data from other projects. Each lesson is one hour long so that students can either complete one each week for a semester or multiple in a single day if preferred. The lessons [...]
Students will learn popular AI/Machine Learning (ML) methods and data science skills through hands-on activities using open-source analytical tools and pre-processed datasets. There are three levels of activities, which can be used standalone or as a series, based on students’ backgrounds. Activity Levels 1 and 2 focus on the most common data format—rectangular data. Specifically, [...]
R is one of the most commonly used programming languages in the biomedical sciences. In this module, students will learn basic programming skills in R and R Studio and begin using the ggplot package to visualize biomedical data, with no past coding experience needed. Instructors: This course module can be flexibly adjusted and can be [...]
