PSL4040H - Big Data and Health

Course Coordinator: 

B. Cox


This is an interactive, hands-on workshop-style graduate course to learn how to apply the programming language R to analysis of data.  This course will focus on graphing, statistical modelling and prediction methods of data sets with clinical (patient treatments and diagnosis), biological (gene expression) and physiological (telemetry time series information) importance.  Students do not need to have prior computer science or programing experience.  A degree in physiology or biological sciences is recommended and an introductory statistic course is beneficial.  Basic principals in statistics will be reviewed in conjunction with their application in programming and data analysis.