Learn various types of data visualization fundamentals that can be used most effectively for a given purpose, viewer and context. You examine case studies, and then work on your own projects to create and evaluate human-centered visualizations. You learn the essentials of visual design, visual encoding, information design and human computer interaction (HCI) that can be applied to data visualization. You also develop an understanding of human-centered design techniques that can be applied to real-world data visualization challenges. Other key aspects of this class include data processing, data-processing lifecycles, quantitative vs. qualitative data types, discrete vs. continuous, data summarization and statistics, and data strategies.
You learn to bridge the gap between best practices in the perception and cognition concepts used to build visualizations. You examine case studies, get hands-on training with visual journalism and data storytelling, and work on creating and evaluating user-centered visualizations. These visualization projects can be done with the formats and tools of your choice but are subject to instructor approval. You learn about important contributors to the field, as well as the essentials of visual design, information design and computer interaction that are relevant to data visualization strategies. Download Tableau for free. (Teachers and students get a one-year free license.)
