Machine Learning in the Life Sciences

Catalog description

Data science is an exciting field of inter-disciplinary science, with a wide range of applications in marketing, finance, life sciences, healthcare as well as technology. This course is designed to provide a practical understanding of key concepts in data analytics and hands-on experience with real data from various sources. Topics covered include methods of data gathering, data processing, data exploration, visualization, classification, and network analysis. Students will gain a deeper understanding by working with data using open source software tools, such as R, R Studio, and Cytoscape. Application areas will emphasize life sciences and biotechnology.