EPIB695
Introduction to R for Health Data Analysis
A hands-on introduction to the statistical package R for health data management and analysis. The first part of the course focuses on basic and essential data manipulation and visualization using R. The second part emphasizes the use of R in statistical analyses, including summarization, correlation, chi-squared test, t-tests, ANOVA, simple and multiple regression. Students will also learn fundamental R language programming to perform user-defined calculations. No previous knowledge of R or of statistical analysis are assumed.
Spring 2026
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Summer 2025
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Spring 2025
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Past Semesters
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Average GPA of 3.71 between 17 students*