Data Visualization for Biomedical Sciences

2 credits · Graduate

Display of quantitative data is central to relaying results in scientific manuscripts, talks, and other visual communications. Learning to manage, display, communicate scientific results effectively and ethically is an important component of professional development for all scientists. This course will offer conceptual and hands-on training in data visualization for biomedical scientists, combining principles of graphic design with a deep dive into the Adobe suite of tools. In addition to using 'out of the box' tools, the course will fully integrate coding in R and rigor and reproducibility best practices. Open only to students in School of Medicine PhD programs.