Credit Hours: 3.00. Students follow a structured analytical process using popular industry tools (e.g., RStudio, Tableau, SQL) to identify, visualize, and summarize relationships within large data sets to support business problems. More focus is on descriptive analytics which includes business segmentation and clustering methods, but also introduces two predictive analytic methods, decision trees, and neural networks. Typically offered Fall.
3.000 Credit hours
Graduate, Professional, Undergraduate
Distance Learning, Lecture
School of Management
School of Mgmt Adm & Instr