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The ability to make data-driven decisions is redefining the future of patient care. This two-part series provides an introduction to the emerging field of health data science using the R software language, including data analysis and visualization, with a particular focus on its utility for insight in healthcare. No prior knowledge of data science or computer programming is assumed; laptops are required. Attendees will be provided with healthcare dataset examples, and introduced to R packages and code used to examine data. Particular attention will be paid to code interpretation and data provenance methods by learning to generate reproducible data output files. Although specific datasets will be used for analysis in class, this workshop will provide broadly applicable tools to reproducibly analyze and visualize data across the healthcare continuum.

This is the second session in the two-part series; participants are requested to register for both sessions (April 8 and 9).

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Status	Archived
Date	Thursday, April 9th, 2020
Time	4:30pm - 6:30pm
Location	Virtual Classroom
Leader	Matthew Hirschey
Enrolled	159