Arts Administration Summer Course

Data Mining for Business Analytics

MET AD 699

Enterprises, organizations, and individuals are creating, collecting, and using massive amounts of structured and unstructured data with the goals of converting the information into knowledge, improving the quality and efficiency of their decision-making process, and better positioning themselves in the highly competitive marketplace. Data mining is the process of finding, extracting, visualizing, and reporting useful information and insights from both small and large datasets with the help of sophisticated data analysis methods. It is part of business analytics, which refers to the process of leveraging different forms of analytical techniques to achieve desired business outcomes through requiring business relevancy, actionable insight, performance management, and value management. Students in this course study the fundamental principles and techniques of data mining. They learn how to apply advanced models and software applications for data mining, as well as how to examine the overall business process of an organization or a project to understand (i) the business context where hidden internal and external value is to be identified and captured, and (ii) exactly what the selected data mining method does. R, SQL, and Power BI software are used in this course.