BMSC 620 Introduction to Biostatistics

Credits: 3
This course will teach how to gain and communicate insights from biomedical data. Concepts learned will include data wrangling, exploratory data analysis and visualization, statistical inference with a simulation-based resampling focus, power analyses, and linear regression modelling. Students will learn how to implement the statistical programming language R throughout the research pipeline: importing, wrangling, visualizing, analyzing, interpreting, and communicating data. In addition, students will learn to create and maintain efficient workflows for reproducible research.

Modern teaching materials will be used to introduce and reinforce R skills in an interactive self-guided environment, and through online resources.

Graded: A-F
May be taken only once for credit