MAT 455 Data Analysis
3 hours
This course will use statistical and other mathematical tools to extract useful information from collected data, yielding deeper insights that allow for better decision-making and predictability. Ethical and risk considerations of sharing data will also be discussed, along with relevant technologies such as anonymizing and encrypting applications. Topics include regression, matrix representation, clustering, classification, graph representations, and data visualization. This course will also have a computational component using statistical software.