BSTA 526 – R programming for Health Data Science
Biography
This course aims to develop programming skills in R, a powerful statistical programming language. This course assumes some prior familiarity with R and ranges from advanced beginner topics to intermediate topics. It will cover practical data science skills in R that are useful for a career in statistics, epidemiology, or data science, including loading data, data wrangling, visualization, automation, machine learning, and running statistical models. A laptop is required for class to participate in coding exercises.
Prerequisite
BSTA 511 or instructor approval.
¹ CEPH Primary Instructional Faculty
² CEPH Non-Primary Instructional Faculty
Experienced Faculty With Diverse Backgrounds
More than 150 faculty members work within the OHSU-PSU School of Public Health. They have a wide range of expertise, from monitoring and assessing health risks and opportunities in populations, to helping build health-supporting social environments through policy, advocacy, and programs. They are educators, advisors, researchers, practitioners and community leaders. They come from backgrounds in quantitative, behavioral, environmental and social sciences, policy and government, exercise and health sciences and anthropology, among many other areas. They all work in collaboration with each other and with community partners, and are especially focused on the training and education of future leaders and practitioners in the public health fields.
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