Data Visualization

Catalog description

Communicating clearly, accurately, and effectively about the patterns found in data is a key skill for a successful data scientist. This course focuses on the design and implementation of complementary visual and verbal representations of patterns and analyses in order to convey findings, answer questions, drive decisions, and provide persuasive evidence supported by data. Assignments will give students hands-on experience with designing and building data visualizations as well as reporting their findings in a variety of presentation styles. This course focuses on the use of current industry-standard data visualization techniques. Students must achieve a minimum grade of B-. Prerequisite: DATA 546 with a grade of B-.