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Berkeley Global
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.)
Prerequisites:
None, but a general knowledge of data visualization and human-centered design would be helpful. There will be discussions of some basic concepts about statistics and data types, but these will be geared for a general audience.
Course Outline
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Course Objectives
- Clearly define, describe and apply fundamental data visualization design concepts including visual encoding
- Create the appropriate chart types for the data and the audience
- Understand the distinctions between exploratory versus descriptive visualizations Gestalt principles for visualization design
- Relate and leverage principles of human visual processing and cognition for data visualization to effectively and accurately convey the meaning
- Be able to determine appropriate visualization approaches based on the data and purpose of the visualization
- Describe and apply common practices of human-centered design in the context of data visualization
- Develop an awareness of human biases and unintentionally misleading presentations of data and techniques to help avoid potential misinterpretations
- Learn principles and approaches for data storytelling
What You Learn
- Learning to use visual representations: charts or graphs, color usage allow the understanding of complex data to convey significant meaning in your design journey.
- Data visualization fundamentals
- Visual encoding
- Perception and cognition concepts
- Key design techniques for conveying qualitative and quantitative data
- Exploratory vs. explanatory visualization
- Data processing and the data lifecycle
- Data types: quantitative vs. qualitative and discrete vs. continuous
- Data summarization and statistics
- Human-centered design
- Analytic and data-oriented workflows
- Data visualization tools
- Analytic dashboards
- Personal activity monitors
- Visual journalism and data storytelling
- Data relationships
- Color usage Cognitive bias
- Data visualization strategies
- Visual narratives
- Future of data visualization, including augmented reality (AR) and virtual reality (VR)
- Multimodal interactive interfaces
How You Learn
We are online! All of the design classes are conducted online and include video classes, mentor-led learning and peer-to-peer support through our student online platform, Canvas.
- Lectures
- Reading assignments
- Quizzes at instructor’s discretion
- Small-group activities
- Homework assignments
- Capstone project
Is This Course Right for You?
Students enrolled in the Professional Program in User Experience (UX) Design, UX designers, UX researchers, product managers, design-oriented business people, marketing individuals and people interested in data visualization. Others interested in developing their abilities to create or otherwise work with data visualizations can also benefit from this course. Our experienced instructors provide practical information in human-centered design skills and monitor your development along with peer-to-peer support on our student online platform.
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Sections
Spring enrollment opens on October 16!