Statistical Graphics and Data Visualization. 3 credits

Catalog description

Data visualization enhances exploratory analysis as well as efficient communication of data results. This course will provide students with creative and technical skills to transform data into visual reports, as well as hands-on experience in data analysis and visualization using R, a free statistics software used frequently for data science. It focuses on exploratory and explanatory data visualization techniques to discover patterns, answer questions, convey findings, drive decisions, and provide persuasive evidence. Topics include an introduction to data curation, graphics as tools of data exploration, geospatial visualization, strategies and techniques for data visualizations, interactive and dynamic web graphics for data analysis, and various data science modeling techniques. Many key data visualization approaches, examples, and case studies will be presented. Offered by Statistics . May not be repeated for credit.