In this online data science course, you will explore the design, development, and evaluation of information visualizations. By combining aspects of design, computer graphics, HCI, and data science, you will gain hands-on experience creating visualizations, using exploratory tools, and architecting data narratives. Topics include user-centered design, web-based visualization, data cognition and perception, and design evaluation.

By completing this course, you will be able to:

  • Develop a toolkit for exploring and communicating complex data using visualization
  • Produce basic data visualizations using a chosen dataset
  • Compare methods for visualizing data and understand how these methods may guide users towards different conclusions
  • Evaluate how effectively a visualization conveys target data

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program.

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