CIS 900 Data Warehousing & Data Mining
This course addresses the advanced concepts, techniques, and applications of data warehousing and data mining. Topics covered in this course include: dimensional modeling, extraction-transformation-loading (ETL), online analytical processing (OLAP), data mining, decision tree, association mining, and clustering. Through relevant group projects and hands-on activities students learn the practical applications of data warehousing, data mining, and the job of a big data specialist. Prerequisite: None.