Id: 038346
Credits Min: 3
Credits Max: 3
Description
The focus of this course will be on the analysis of large biomedical data sets using the R Programming Language, an open-source programming language with several development platforms freely available for Windows, Mac, and Linux. The central topics will cover basic data analytics methods applying the widely used data analysis tool, R. This course will not focus on any specific biotechnology area. Many of the analytical skills obtained can be applied across a number of biomedical applications. The syllabus also covers an overview of major biomedical "Big Data" areas. Students may implement their final course project using a dataset in any biomedical application area of their choosing, i.e. genomics, medical imaging, health policy informatics, and personal health monitoring. There is no programming pre-requisite for this course. Students must have the willingness and capacity to learn how to apply R Programming.
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