This course builds on the theory-driven Business Analytics foundations of earlier courses by introducing students to data-driven (i.e., machine learning) analytics approaches to business data and decision making. Topics include data gathering and cleaning, clustering and classification techniques, and dimensionality reduction. Beyond the use of leading-edge analysis tools, a full systems lifecycle approach will be utilized in this course.
This course builds on the theory-driven Business Analytics foundations of earlier courses by introducing students to data-driven (i.e., machine learning) analytics approaches to business data and decision making. Topics include data gathering and cleaning, clustering and classification techniques, and dimensionality reduction. Beyond the use of leading-edge analysis tools, a full systems lifecycle approach will be utilized in this course.
