Principles and Practices of Data Mining and Data Visualization

Catalog description

An undergraduate introductory course on the principles and practices of data mining and data visualization: Students will be introduced to the concept of data mining then develop a plan to repurpose an existing data-set. They will learn to capture data-sets using OCR and related data scraping technology. Using SPSS, they will then disaggregate, repurpose, and re-aggregate the data-set. In the second half of the course, students will learn to use data visualization tools, such as Visme and Tableau, to best communicate their information and insights with an emphasis on utilizing geo-tagging, describing and displaying descriptive and inferential statistics, or using text analysis depending on the nature of the data. The goal is to illuminate or highlight hidden relationships within the data that were not evident in their original aggregation.