Data Analytics

Catalog description

This course approaches statistics from both applied and theoretical perspectives in order to develop an understanding of the ways that data are analyzed and reported. The course is situated in healthcare data analytics and the varied ways existing/new data is analyzed and results communicated. Focus is given to learning the appropriate application, including decision-making for analysis plan, and interpretation of statistical analyses. The course addresses data transformation, effect size and power analysis, clinical significance, parametric and non-parametric statistical tests including t-tests, analysis of variance, chi square, correlation, linear and logistic regression and other methods of analyses for continuous and categorical data. Emphasis is placed on understanding why statistical methods are chosen, developing a cohesive analysis plan, applying best practices for data preparation and management, executing an analysis and using statistical software programs, including conduct of analyses, review of output and interpretation using existing software programs.