Advanced Data Analysis

3 units

Students will be provided with an introduction to theory and analytical techniques commonly employed in the practice of public health data analysis through short lectures and a hands-on experiential learning approach. Students will develop and conduct an independent data analysis project, choosing from different real-world public health datasets that are amenable to some of the most common types of analyses that students will encounter in their public health careers. Lectures will address theory and practical tools. Exercises will be focused on application of the theories and tools. Lab assignments will provide students with a further opportunity to gain competency in strategies that can be employed to analyze each type of dataset. The course will also provide students with the opportunity to gain skills in data visualization strategies, conducting reproducible research, presenting projects, and effectively responding to constructive critiques. Priority given to those whose concentration is Epi/Bio.