Natural Science 0377 - Data Analysis/Health Sciences

This hands-on course provides an overview of the statistics and data analyses commonly used in epidemiologic and medical research. The primary goals are to learn to develop a testable hypothesis, identify appropriate analyses and correctly interpret and communicate the results, orally and in writing. Students will spend the first half of the semester analyzing health datasets of various sizes and structures, and gaining practice with basic statistical tests (t-test, ANOVA, chi-square, regression) and measures of effect (relative risk, odds ratio). Students will then work independently, developing and executing analytical plans for data they have collected or have accessed on their own. This is an ideal course for Division III students who will be analyzing quantitative data for their research as well as students who want to develop their statistical skills through extensive practice. There are no prerequisites for the course, though an introductory course in statistics is strongly encouraged.

Independent Work Quantitative Skills In this course students are generally expected to spend at least 6 to 8 hours a week of preparation and work outside of class time.