Focuses on designing and implementing data visualization techniques to support exploratory analysis, statistical modeling, and presentation of results from large datasets. Topics include principles of visual perception, data cleaning, implementing static and interactive visualizations, and data storytelling with visualization. Students get hands-on experience by implementing visualizations using programming libraries and completing projects in groups.