About this Course
This course provides a broad foundation of statistical terms and concepts as well as an introduction to the R statistical software package. The topics covered are fundamental components of biostatistical methods used in both omics and population health research. Working with biomedical big data presents many challenges; familiarity with common statistical terms and definitions, and understanding basic statistical theory will help you overcome those challenges. Topic-specific information and examples will be followed by self-assessment opportunities for you to gauge your understanding. In addition, practice datasets and exercises will be provided for you to improve your R programming skills.
What You'll Learn
- Basic R Programming
- How to create and interpret graphical summaries of data
- Basic inferential statistics including parametric and nonparametric methods
Instructors
James Graham
Associate Professor & Director, Rehabilitation Sciences PhD program
Heidi Spratt
Associate Professor, Preventive Medicine and Community Health