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Enrico Bertini and Cristian Felix
This module aims at introducing fundamental concepts of visual perception applied to information visualization. These concepts help the student ideate and evaluate visualization designs in terms of how well they leverage the capabilities of the human perceptual machinery.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers essential concepts of visual perception applied specifically to information visualization
Suitable for students with limited knowledge and experience in visualization design
Emphasizes the effective use of human perceptual capabilities in visualization designs
Provides a solid foundation for understanding the principles of visual perception in information visualization
Taught by experienced instructors with expertise in visual perception and information visualization

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Reviews summary

Insightful information visualization

With a strong emphasis on color theory and visual perception, this course dives deeply into the process of creating visualizations using the principles of design that are most relevant to the information at hand. As a result, this course presents a rich set of concepts for effectively designing data visualizations.
Foundation in Design
"Readslikethedistilationofthemost important facts from gestalt principles of design, ..."
Consideration of Color Blindness
"F... abordarem o tema de daltonismo e mostrarem para a gente a importância de cada elemento da cor ..."
Knowledgeable and Clear
"It's helpful to me because the professor taught kindly and clearly about the theory."
Emphasis on Color
"I never thought, there would be so much to learn about color research & the way we perceive it."
Underlying Principles
"This module aims at introducing fundamental concepts of visual perception applied to information visualization."
Lackluster Peer Review
"Course material is engaging ... However, the complexity of the peer assignment is disappointing."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Information Visualization: Applied Perception with these activities:
Review basic statistics and data analysis concepts
Ensure a strong foundation in data analysis concepts before starting the course.
Browse courses on Statistics
Show steps
  • Review lecture notes or online resources on statistics and data analysis
  • Complete practice exercises to test understanding
Read "Visual Perception for Information Visualization"
Gain a theoretical understanding of visual perception and its impact on visualization design.
Show steps
  • Read assigned chapters and take notes on key concepts
  • Summarize the main ideas and their relevance to visualization
Follow tutorials on color theory and typography
Enhance visual communication skills by understanding the principles of color and typography.
Browse courses on Color Theory
Show steps
  • Identify online tutorials or resources on color theory and typography
  • Follow the tutorials and apply the concepts in practice
  • Create visualizations that demonstrate effective use of color and typography
Five other activities
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Show all eight activities
Complete visualization exercises
Build proficiency in applying visualization concepts through repetitive exercises.
Browse courses on Visualization Techniques
Show steps
  • Review lecture materials to identify key concepts
  • Practice creating visualizations using provided datasets
  • Compare your visualizations to examples to identify areas for improvement
Participate in peer visualization review sessions
Develop critical thinking skills by providing and receiving feedback on visualization designs.
Browse courses on Peer Feedback
Show steps
  • Identify a peer group for mutual review
  • Present visualizations and provide constructive feedback on design and effectiveness
  • Incorporate feedback into revisions and improve visualization skills
Attend industry talks or conferences on visualization
Stay updated on advancements in visualization and connect with professionals in the field.
Browse courses on Industry Trends
Show steps
  • Identify relevant industry events or conferences
  • Attend sessions and engage with speakers and attendees
  • Network with professionals to expand knowledge and career opportunities
Develop a visual storytelling project
Apply visualization principles to communicate insights and tell compelling stories with data.
Browse courses on Data Storytelling
Show steps
  • Choose a dataset and identify a compelling narrative
  • Design and create visualizations that effectively convey the story
  • Present the project to a small group for feedback and discussion
Volunteer in a data visualization organization
Gain practical experience and contribute to the visualization community.
Browse courses on Community Involvement
Show steps
  • Identify local organizations or non-profits involved in data visualization
  • Reach out to the organization and inquire about volunteer opportunities
  • Participate in projects and contribute to visualization initiatives

Career center

Learners who complete Information Visualization: Applied Perception will develop knowledge and skills that may be useful to these careers:
Information Visualization Designer
An Information Visualization Designer creates visual representations of data so that it can be more easily understood by both humans and machines. The skills learned in this course, including how to effectively leverage the capabilities of the human perceptual machinery, are highly applicable to this career role. This course can help a designer create visualizations that effectively communicate complex information and that are pleasing to the eye.
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This includes the ability to visualize data in a way that can be easily understood by stakeholders. The skills learned in the Information Visualization: Applied Perception course can help a Data Scientist create visualizations that are effective in communicating insights to decision-makers.
Market Researcher
Market Researchers gather and analyze data on consumer behavior, market trends, and other factors to help businesses make informed decisions. They often use visual representations of data to communicate their findings. The Information Visualization: Applied Perception course can help a Market Researcher create visualizations that are clear, concise, and effective in communicating research findings.
User Experience Designer
User Experience Designers create products and services that are easy to use and enjoyable to interact with. They often use visual representations of data to understand how users interact with products and services. The Information Visualization: Applied Perception course can help a User Experience Designer create visualizations that are effective in understanding user behavior and making improvements to products and services.
Web Developer
Web Developers create and maintain websites. They often use visual representations of data to display information on web pages. The Information Visualization: Applied Perception course can help a Web Developer create visualizations that are clear, concise, and effective in communicating information to website visitors.
Graphic designer
Graphic Designers create visual representations of ideas and concepts. They often use visual representations of data to communicate information in a visually appealing way. The Information Visualization: Applied Perception course can help a Graphic Designer create visualizations that are clear, concise, and effective in communicating information to audiences.
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They often use visual representations of data to communicate their findings. The Information Visualization: Applied Perception course can help a Data Analyst create visualizations that are clear, concise, and effective in communicating data-driven insights.
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make informed decisions. They often use visual representations of data to communicate their findings. The Information Visualization: Applied Perception course can help a Business Intelligence Analyst create visualizations that are clear, concise, and effective in communicating data-driven insights.
Statistician
Statisticians collect, analyze, and interpret data to help businesses make informed decisions. They often use visual representations of data to communicate their findings. The Information Visualization: Applied Perception course can help a Statistician create visualizations that are clear, concise, and effective in communicating statistical findings.
Information Architect
Information Architects design and organize information systems to make them easy to use and find. They often use visual representations of data to communicate their findings. The Information Visualization: Applied Perception course can help an Information Architect create visualizations that are clear, concise, and effective in communicating information system designs.
UX Researcher
UX Researchers study how users interact with products and services. They often use visual representations of data to communicate their findings. The Information Visualization: Applied Perception course can help a UX Researcher create visualizations that are clear, concise, and effective in communicating research findings.
Product Manager
Product Managers are responsible for the development and launch of new products and services. They often use visual representations of data to communicate their findings. The Information Visualization: Applied Perception course can help a Product Manager create visualizations that are clear, concise, and effective in communicating product plans and progress.
Software Engineer
Software Engineers design, develop, and maintain software systems. They often use visual representations of data to communicate their findings. The Information Visualization: Applied Perception course can help a Software Engineer create visualizations that are clear, concise, and effective in communicating software designs and progress.
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. They often use visual representations of data to communicate their findings. The Information Visualization: Applied Perception course can help a Data Engineer create visualizations that are clear, concise, and effective in communicating data pipeline designs and progress.
Systems Analyst
Systems Analysts design, develop, and maintain computer systems. They often use visual representations of data to communicate their findings. The Information Visualization: Applied Perception course may be helpful to a Systems Analyst who wants to create visualizations that are clear, concise, and effective in communicating systems designs and progress.

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Information Visualization: Applied Perception.
By Colin Ware provides a comprehensive overview of the field of information visualization, with a focus on the perceptual and cognitive factors that influence how people understand and use visual representations of data.
This classic text by Steven Pinker provides a comprehensive overview of the field of visual cognition, with a focus on the perceptual and cognitive processes that underlie how people see and understand the world around them.
This classic text by Rudolf Arnheim explores the fundamental principles of visual perception and cognition, and how they can be applied to the design of effective visualizations.
This comprehensive textbook by Richard Gregory provides a comprehensive overview of the field of psychology of perception, with a focus on the perceptual and cognitive factors that influence how people perceive the world around them.
This influential work by Zenon Pylyshyn explores the relationship between language and vision, and how they interact to shape our understanding of the world around us.
This influential work by Edward Tufte provides a set of principles and best practices for the design of clear and effective visualizations of quantitative data.
This comprehensive handbook provides a comprehensive overview of the field of data visualization, covering a wide range of topics from the history of visualization to the latest advances in technology and research.
This classic text by Irvin Rock provides a comprehensive overview of the field of perceptual organization, with a focus on how people perceive and organize visual stimuli.
This practical guide by Andy Kirk provides a step-by-step approach to the design and implementation of effective visualizations using a variety of software tools.
This practical guide by Cole Nussbaumer Knaflic provides a framework for using data visualization to communicate insights and tell compelling stories to business stakeholders.
This beginner-friendly guide by Kristen Sosulski provides a step-by-step approach to creating effective visualizations using a variety of simple tools.

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