This course is an introduction to the principles and techniques for data visualization. Visualizations are graphical depictions of data that can improve comprehension, communication, and decision making. In this course, students will learn visual representation methods and techniques that increase the understanding of complex data and models. Emphasis will be placed on the identification of patterns, trends and differences from data sets across categories, space, and time. Throughout the course, several questions will drive the design of data visualizations some of which include: Who's the audience? What's the data? What's the Task? This is a hand-on course. Students will use several tools to refine their data and create visualizations. These may include: R, Python, ManyEyes, HTML/CSS, JavaScript (D3 Framework), Google Fusion tables, Google Refine, Google Charts, Adobe Illustrator, and Excel. To learn more watch the course preview: http://www.youtube.com/watch?v=frwl-YVtmrs
<< Less
