Introduction to Business Analytics

2.5 credits

This course focuses on how analytics can support/improve business operations. It covers the fundamental principles and techniques of business analytics, in particular supervised and unsupervised machine learning methods, and uses real world examples and cases to illustrate these. The objective is to train students to approach business problems data-analytically—translate business problems into one or more related analytic problems; identify the appropriate techniques to solve these problems; and critically evaluate the results and their impact on business performance. The material will be presented in an intuitive manner, with the goal of making students intelligent consumers of these widely applicable techniques. However, hands-on learning using appropriate software is required to achieve sufficient mastery of the material. Prerequisite: GBA 412 or GBA 462