Data Visualization and Analysis for Business and Economics

4 hours; 4 credits. This course offers students the opportunity to use data mining and spatial analysis techniques to analyze large-scale data. This will include examination of various graphing and summarizing techniques for spatial data, techniques for detecting and exploring spatial relationships and appropriate visualization techniques. In addition to spatial techniques, students will also learn other computation methods and analysis methods for large-scale data such as Geographic Information Systems, Cluster Analysis and Factor Analysis. Many opportunities for hands on analysis and visualization of data will be supported by the examination and use of public sources of large scale data sets and geospatialdata. Prerequisite: BUS 215, ECO/MGT 230.

Fall, Spring

030708