Advances in information technology have made available rich information data sets, often generated automatically as a by-product of the main institutional activity of a firm or business unit. Data Mining deals with inferring and validating patterns, structures and relationships in data, as a tool to support decisions in the business environment. This unit offers an insight into the main statistical methodologies for the visualisation and the analysis of business and market data, providing the information requirements for specific tasks such as credit scoring, prediction and classification, market segmentation and product positioning. Emphasis is given to empirical applications using modern software tools.
|Academic unit||Business Analytics|
|Unit name||Machine Learning and Data Mining in Business|
|Semester 1, 2022|
|Attendance mode||Normal day|
|Available to study abroad and exchange students||
Teaching staff and contact details
|Coordinator||Marcel Scharth, firstname.lastname@example.org|