Pre-requisites: QST BA600, QST BA602, QST BA780. This course provides students with practical skills in performing hands-on analytics on real-world datasets predominantly gathered through digital interactions. Students will learn to apply supervised machine learning techniques to analyze this data, using the Python programming language. The course includes a series of lectures and in-class exercises designed to help students derive actionable recommendations from their analyses and effectively present their findings. The goal of the course is to foster a deep understanding of popular supervised machine learning methods and to illustrate the types of business problems to which these techniques can be effectively applied.

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.