Health Data Analytics (HDA)

HDA 360  Applied Health Data Statistics     Credits: 3

Typically Offered: Fall.

Course Description: This course emphasizes statistical analysis of clinical data, use of healthcare statistical formulas, presentation of data, and application of basic medical research principles. Students are introduced to epidemiological concepts along with examining the use of statistical analysis of clinical data in relation to long-range healthcare planning and statistical reporting. Students will utilize software statistical functions and formulas as well as formatting and organization of data for presentation. Prerequisite(s): A grade of C or higher in MAT 111, MAT 111E or PSY 300, CSC 201 and HIF 300 or concurrent enrollment.

HDA 450  Applied Health Data Analytics     Credits: 3

Typically Offered: Spring.

Course Description: Application of data-driven, computer-based tools and data analysis techniques which aid decision-making in healthcare. The course provides students a hands-on approach with the use of open source software and open source data. Examination of statistical methods, analytical tools and processes including data analysis and visualization through case studies and scenarios. Prerequisite(s): A grade of C or higher in HIF 300, ACT 302 and HIF 420 or concurrent enrollment.

HDA 455  Applied Health Data Reporting     Credits: 3

Typically Offered: Spring.

Course Description: This course provides students an introduction as well as hands-on experience in data visualization. It introduces students to design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making. Provides an introductory level of competency on the use of several available software tools that can be used for data visualization. Allows for project-based opportunities to identify, understand, analyze, prepare, and present effective visualizations on a variety of topics. Prerequisite(s): A grade of C or higher in HIF 300, ACT 302 and HDA 450 or concurrent enrollment.