Pharmaceutical Data Sciences

Catalog description

Pre- or Co-requisite: MATH 1200 . This course consists of lectures and computer laboratory activities. It will cover all the basic aspects of pharmaceutical data sciences. These include, but not limited to, data storage & retrieval, file format and databases, basic statistics, data visualization, multivariate data analysis, clustering, classification, regression, and computer scripting to handle big data. Emphasis will be placed on hands-on activities. No prerequisite in computer science and statistics is required.