About
This free online course introduces the foundational theories and design principles of data visualization, guiding students through the creation of interactive dashboards using Tableau. Learners will explore various data types and visualization strategies to effectively communicate insights. Upon completion, students will be able to: Understand ethical and legal considerations in data visualization. Apply appropriate visualization methods for: - Numerical data - Categorical data - Spatial data - Social network data - 3D data Create and evaluate visualizations using tools such as Tableau, Gephi, and virtual reality platforms, understanding their capabilities and limitations. Disclaimer: Some instructional materials in this course are adapted from Tableau Academy resources created by Jeffrey Shaffer, Director of the Applied AI Lab and Professor of Analytics at the University of Cincinnati. He is a five-time Tableau Zen Master, inducted into the Zen Master Hall of Fame, and co-author of The Big Book of Dashboards. With a background in IT leadership and business analytics, he is a recognized expert in data visualization and AI. Learn more at DataPlusScience.com.
You can also join this program via the mobile app. Go to the app