MGT6795
Storytelling & Data Visualization
This course will explore the foundations of data visualization techniques on various data sets to guide the decision-making process. A variety of crucial topics will be addressed. Topics may include the following: perceptual principles for displaying data, the critique and improvement of data visualizations, the use of color and sizing principles to enhance graphical displays, the use of data visualizations to explore data, the discussion of new industry-accepted data visualizations and graphics, and the discussion of software packages for generating such displays of data. Other topics may be covered if time permits.
PREREQUISITE:
MGT6460 – Applied Business Analytics
COURSE COMPETENCIES:
UPON COMPLETION OF THE COURSE, THE STUDENT WILL BE COMPETENT IN:
- Defining the term ‘data visualization.’
- Deconstructing a graphic into the data displayed and understanding how it is mapped to visual properties.
- Describing the order of accuracy of perceptual tasks and how this affects the choices made in constructing a visualization.
- Critiquing a visualization based on its purpose, as well as its use or abuse of perceptual principles.
- Suggesting improvements to data visualization to enhance its effectiveness as needed.
- Applying appropriate data visualization tools and techniques to a data set for exploratory purposes.
- Polishing a data visualization so that it is ‘publication-ready’ and adheres to proper APA standards.
- Comparing and contrasting the various software packages capable of producing high-quality data visualizations.
- Describing newer types of data visualizations that exist for extracting meaning from data.