Department of Data Science, University of Mississippi Medical Center
This course gives an overview of data, ideas and tools that data analysts and data scientists work with. In this course, students will get the basic principles of programming tools such as R, Python, Matlab; reproducible tools such as Github, version control; as well as data cleanup and analysis methods such as data graphics, multivariate statistical techniques. Topics include:
This course introduces fundamental machine learning theories and applications in the biomedical area. In this course, students will learn to analyze large and complex datasets through a series of hands-on practical case studies. Through this course study, students will be able to apply the machine learning algorithms such as classification, regression and clustering on human disease-related genomic and clinical data. Topics include:
Current Students
Role: research mentor and academic advisor
Role: co-mentor with Dr. Yixin Chen
International Presentations
National Presentations