R Fundamentals for Health Research
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Course Description
This introductory course is a practicum in which students will learn the basics of R, a free, open-source statistical analysis software program, and use the programming language to analyze health datasets by application of classical statistical methods. A familiarity with basic descriptive and inferential statistics is required (completion of HRP 258/259, or concurrent enrollment in an appropriate statistics/biostatistics course). It is assumed that students will have no (or very little) prior experience with R. This course is a ¿flipped classroom¿ where lecture content will be viewed at home before in-class meetings with hands-on coding practice by each student on their own computers. Priority for enrollment given to CHPR masters students, who must enroll for a letter grade.
Cross Listed Courses
Grading Basis
MOP - Medical Option (Med-Ltr-CR/NC)
Min
1
Max
1
Course Repeatable for Degree Credit?
No
Course Component
Practicum
Enrollment Optional?
No
Does this course satisfy the University Language Requirement?
No
Programs
CHPR202
is a
completion requirement
for: