Data Analytics & Data Mining ((4 Credits))

Catalog description

In this study students contrast relational and multidimensional data storage paradigms used for data warehouses and enterprise level predictive analytics. Extraction, transfer and loading of data, and meta-data lineage are also examined. Data mining and dashboard tools are infused into experiential learning through practical business problem solving. Students will learn the value of predictive analytics and data-driven decision making at the strategic enterprise level. Prerequisite (must complete before registering): Statistics ( MATH 1065 )