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: