Clinical Data Science provides students with an introduction to a broad range of concepts and methods in data science, as they pertain to biomedical research. The focus of the class is on introducing key methods ranging from data collection and storage, to probabilistic methods, etc.
Outcomes: Understand and describe the steps in the life cycle in biomedical and clinical research; Understand the key principles of data management; Apply, analyze, and evaluate data structures, standards, and quality of data in large biomedical databases and clinical research; Analyze and evaluate key data analytics concepts as they apply to biomedical research; Analyze ethical and legal issues when dealing with biomedical and clinical data.
Outcomes: Understand and describe the steps in the life cycle in biomedical and clinical research; Understand the key principles of data management; Apply, analyze, and evaluate data structures, standards, and quality of data in large biomedical databases and clinical research; Analyze and evaluate key data analytics concepts as they apply to biomedical research; Analyze ethical and legal issues when dealing with biomedical and clinical data.