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|DSCI 610 - Data Analytics for Health Sciences|
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
Schedule Types: Online (Asynchronous)
Coll of Sciences & Humanities Department
Must be enrolled in one of the following Levels:
Graduate level DSCI 602 Minimum Grade of C
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