PubH 6002 Biostatistical Applications for Public Health (Spring 2015 Online)
This is an introductory course in the application of biostatistical principles to the critical analysis of retrospective studies, prospective studies, controlled clinical trials, and studies in the health services literature. This course focuses on the logical basis of biostatistical methods and addresses how to select an appropriate statistical method based on given data, perform calculations of basic statistical procedures for estimation and inference, and interpret the results of statistical analysis. Among the topics covered are multinomial experiments, contingency table analysis, correlation, linear regression, analysis of variance, analysis of covariance, and logistic regression.
PubH 6299 Visual Exploration of Public Health Data (Every Fall since 2015)
This 1 credit, 7 week elective course will delve into the principles and best practices in the exploratory data analysis, design and visualization of statistical information using public health data. We will use Tableau as the visualization tool and Alteryx Designer as the data manipulation tool with licenses given through their education licensing program. This applied, hands-on course will cover the analysis pipeline from question formulation and data preparation and exploration, to graph design, inference and communication of results. Topics will include the design components of graphs and tables, the critical assessments of graphical displays, and the role of cognitive factors. Exploration of various types of data such as geographic, time series and text analytics are used. By the end of the course, students will have acquired skills to explore data responsibly and effectively, compose compelling stories and use graphs to communicate data insights. No programming skills required.