Public Health 460 - TellingStories/DataStatModelVi

The aim of this course is to provide students with the skills necessary to tell interesting and useful stories in real-world encounters with data. Specifically, they will develop the statistical and programming expertise necessary to analyze datasets with complex relationships between variables. Students will gain hands-on experience summarizing, visualizing, modeling, and analyzing data. Students will learn how to build statistical models that can be used to describe and evaluate multidimensional relationships that exist in the real world. Specific methods covered will include linear, logistic, and Poisson regression. This course will introduce students to the R statistical computing language and by the end of the course will require substantial independent programming. To the extent possible, the course will draw on real datasets from biological and biomedical applications. This course is designed for students who are looking for a second course in applied statistics/biostatistics (e.g. beyond PUBHLTH 391B or STAT 240), or an accelerated introduction to statistics and modern statistical computing.

Open to sophomores, juniors, and seniors. PUBHLTH 460 requisite This course is open to sophomores, juniors and seniors.
If you have not taken one of the prerequisite stats courses, you are encouraged to email the instructor for permission to enroll, especially if any of the following apply: (a) you have taken AP Stats in high school, (b) you have taken a college-level intro stats course not listed as a prerequisite option, or (c) you are confident in your quantitative skills and your ability to succeed in a fast-paced, advanced introductory course.
It is strongly encouraged for students to have prior R programming experience before taking this class.