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HI 5353 Health Informatics Data Analysis

(2 hours lecture/3 hours laboratory)
3 semester credit hours/meets part of research informatics competencies
Prerequisites: HI 5351 or HI 5352 or consent of instructor

This course provides the student the opportunity to know when and how to use state-of-the-art data analysis computer software to perform each of a comprehensive set of the most important and frequently used data analysis techniques for research and evaluation in health informatics. The student will choose the most appropriate data analysis tools to perform qualitative, descriptive, inferential, parametric, non-parametric, multifactor and multivariate techniques, as well as graphical data modeling analytic techniques using the computer. Qualitative data analysis and related software will demonstrate alternate methods for data collection and reduction.