PUBH 733 Data Visualization
Data visualization is the act of taking information (data) and placing it into a visual context such as a map or a graph. Healthcare data in multiple formats are collected daily for the ultimate purpose of better patient care and reducing cost. The volume and variety of data accumulated in the healthcare industry call for effective analytics tools that can extract insightful information from data and use that to leverage business and medical decisions. Data visualization makes it easier for the human brain to understand big or small data and place meaning into complicated datasets so that their message is more concise. Visualization also makes it easier for users to detect patterns, trends, and outliers in groups of data.
This course introduces the techniques of data visualization using different data analytics tools, such as R and Tableau. This course is intended to be a step-by-step introduction to the world of visual analytics and is designed for the beginner and intermediate users of data visualization. The course will help students to understand and apply important concepts and techniques in data visualization, moving from simple to complex situations and then combine them in interactive dashboards. Topics include data connection, different graphs and charts, quick table calculations, designing interactive dashboards, mapping, unions and joins. The course contents will focus on visualization techniques and their applications, not on the mathematical theories behind these techniques.
Offered
Fall