Detailed Course Information |
Spring 2025
Mar 14, 2025 |
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| DSCI 610 - Data Analytics for Health Sciences |
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Sources of Health, Clinical, Biomedical and Public Health Data; Study Designs and Design of Experiments for Clinical/Biomedical/Health Data Health; Clinical, Biomedical and Public Health data management with SAS/R/Python; Exploratory Data Analysis; Modeling Quantitative, Categorical, Count and Time-to-Event responses; Longitudinal data analysis; Predictive analytics for health/clinical/biomedical data.
Prerequisite: DSCI 602 or permission of the instructor.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Online (Asynchronous) Coll of Sciences & Humanities Department Restrictions: Must be enrolled in one of the following Levels: Graduate Prerequisites: Graduate level DSCI 602 Minimum Grade of C |
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