Data Analytics for Health Informatics

Catalog description

This course delves into the principles and practices of data analytics in the context of health informatics. Students will explore the applications of data analytics techniques to healthcare data for deriving meaningful insights, improving decision-making, and enhancing patient outcomes. Topics include data preprocessing, descriptive statistics, analysis methods, predictive modeling, and the ethical considerations of health data analytics. Prerequisite(s): AMAT 108, CINF 108, CINF 341.