Data Visualization

2 credits · Owen Graduate School of Management

Data visualization is the art and science of representing data graphically to help understand massive amounts of data. It allows you to see patterns, trends, correlations, outliers, and causality that are not visible in the raw data. Such patterns, both expected and unexpected, greatly aid business intelligence. This course will teach both traditional graphs and information graphics (color patterns and icons in the data or in maps). Important topics include recognizing the most appropriate types of charts for different contexts; techniques for visualizing patterns, trends and causality; and creating interactive reports (dashboards) using filters, page fields, slicers, and drill downs. Examples include Excel's forecast sheets to forecast future demands and solving vehicle routing problems using GoogleMaps and creating Gantt charts for project management in Tableau. Other important objectives are relational data bases and learning how to use business intelligence graphics software. Tableau will be emphasized, and an overview of Microsoft Excel and Power BI (Business Intelligence) will be given. Pre- or co-requisite: MGT 6574. [2]