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Tiffany France

This course will teach you how to effectively use interactions in your project. You'll learn UX concepts and task-driven interactions that will provide your data visualization audience with an engaging and meaningful interactive experience.

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This course will teach you how to effectively use interactions in your project. You'll learn UX concepts and task-driven interactions that will provide your data visualization audience with an engaging and meaningful interactive experience.

Knowing how to create and design data visualizations that are interactive will help provide an effective and engaging experience for your audience. In this course, Interactivity in Data Visualizations, you’ll learn how to take the guesswork out of the design process and effectively plan, design, and ship purpose-driven interactive visualizations. First, you’ll explore the research behind interaction, including several useful design techniques that will aid in the planning of your project. Next, you’ll discover a comprehensive list of interactive methods which will help explain the ways data visualizations can foster meaningful connections with users, deepening their understanding of the topic while providing a delightful experience. Finally, you’ll learn how to review and test your project against preset criteria in order to deliver the highest quality product. When you’re finished with this course, you’ll have the skills and knowledge of interactivity in data visualizations needed to produce professional, purposeful designs.

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What's inside

Syllabus

Course Overview
Exploring Interaction
Utilizing UX and HCI Thinking
Filtering out and Drilling Down
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Brushing, Linking, and Zooming
Selections (Details-on-demand)
Revealing Relationships and Stories in Data
Ensuring Quality

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides hands-on, interactive materials for engaging experiences
Presents industry-standard UX and HCI thinking for interactive design
Develops core skills in filtering, drilling down, brushing, linking, zooming, and selections
Builds expertise in creating interactive visualizations that foster meaningful connections with users
Emphasizes quality assurance for delivering high-quality interactive visualizations

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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 Interactivity in Data Visualizations with these activities:
Seek Mentorship from Experienced Data Visualization Practitioners
Connect with experienced professionals in the field to gain valuable insights and receive personalized guidance on your data visualization journey.
Browse courses on Mentorship
Show steps
  • Attend industry events and network with professionals.
  • Reach out to potential mentors via email or LinkedIn.
  • Prepare for mentorship meetings by outlining specific questions and goals.
Review User Experience (UX) Concepts
Review foundational UX concepts to strengthen your understanding of the principles behind effective data visualization interactions.
Show steps
  • Read articles and books on UX design.
  • Attend webinars or online courses on UX best practices.
  • Analyze real-world data visualization examples and identify the UX principles employed.
Explore Data Visualization Interaction Libraries
Familiarize yourself with popular data visualization libraries and their capabilities for creating interactive visualizations.
Browse courses on D3.js
Show steps
  • Explore documentation and tutorials for D3.js or another preferred library.
  • Build simple interactive visualizations using the library.
  • Troubleshoot and debug code to ensure smooth interactions.
Four other activities
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Show all seven activities
Practice Filtering and Sorting Data
Enhance your skills in filtering and sorting data to enable users to explore data visualizations interactively.
Browse courses on Data Filtering
Show steps
  • Use visualization tools to filter and sort data based on different parameters.
  • Analyze the impact of filters and sorts on user understanding.
  • Implement filtering and sorting functionality in your own data visualization projects.
Attend a Data Visualization Workshop
Participate in a workshop led by experienced practitioners to gain hands-on experience and learn from industry experts.
Show steps
  • Research and identify relevant workshops.
  • Register for the workshop and prepare materials.
  • Actively participate in the workshop, asking questions and taking notes.
  • Follow up after the workshop to consolidate your learning.
Develop a Case Study on Data Visualization Interactivity
Conduct a case study on an existing data visualization to analyze its interactive features and user experience, identifying both strengths and areas for improvement.
Show steps
  • Select a data visualization for analysis.
  • Evaluate the visualization's interactivity, usability, and aesthetic appeal.
  • Write a report outlining your findings and recommendations.
  • Present your case study to peers or industry professionals.
Mentor Junior Data Visualization Professionals
Share your knowledge and experience by mentoring junior professionals, providing guidance and support on their journey in data visualization.
Browse courses on Mentoring
Show steps
  • Identify opportunities to mentor others, such as through online forums or professional organizations.
  • Provide constructive feedback and encouragement to mentees.
  • Share resources and industry insights to support their development.

Career center

Learners who complete Interactivity in Data Visualizations will develop knowledge and skills that may be useful to these careers:
Information Architect
An Information Architect is responsible for organizing and structuring information in a way that makes it easy for users to find and understand. By taking the Interactivity in Data Visualizations course, you may learn how to take the guesswork out of the design process and effectively plan, design, and ship purpose-driven interactive visualizations. This skill can help you succeed as an Information Architect by enabling you to create interactive experiences that are both organized and engaging.
Interaction Designer
An Interaction Designer is responsible for designing the way that users interact with digital products. By taking the Interactivity in Data Visualizations course, you may learn how to effectively use interactions in your project. This skill can help you succeed as an Interaction Designer by enabling you to create interactive experiences that are both engaging and intuitive.
User Experience (UX) Designer
A User Experience (UX) Designer is responsible for designing user interfaces that are both functional and visually appealing. By taking the Interactivity in Data Visualizations course, you may learn how to effectively use interactions in your project. This skill can help you succeed as a UX Designer by enabling you to create interactive experiences that are engaging and easy to use.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make informed decisions. By taking the Interactivity in Data Visualizations course, you may learn how to take the guesswork out of the design process and effectively plan, design, and ship purpose-driven interactive visualizations. This skill can help you succeed as a Data Analyst by enabling you to present your findings in a clear and engaging way.
Data Scientist
A Data Scientist uses data to solve business problems. By taking the Interactivity in Data Visualizations course, you may learn how to effectively use interactions in your project. This skill can help you succeed as a Data Scientist by enabling you to create interactive experiences that help users explore and understand data.
Human-Computer Interaction (HCI) Designer
A Human-Computer Interaction (HCI) Designer is responsible for designing interactive computer systems that are safe, usable, and effective. By taking the Interactivity in Data Visualizations course, you may learn how to effectively use interactions in your project. This skill can help you succeed as a HCI Designer by enabling you to create interactive experiences that are both engaging and efficient.
Data Visualization Analyst
A Data Visualization Analyst is responsible for turning complex data into interactive visual representations. These visual aids help users understand the data and make informed decisions. By taking the Interactivity in Data Visualizations course, you may learn how to plan, design, and ship purpose-driven interactive visualizations. This skill can help you succeed as a Data Visualization Analyst by enabling you to create engaging and meaningful interactive experiences for your audience.
Project Manager
A Project Manager is responsible for planning, organizing, and executing projects. By taking the Interactivity in Data Visualizations course, you may learn how to effectively use interactions in your project. This skill can help you succeed as a Project Manager by enabling you to create interactive experiences that help stakeholders track and manage projects.
Business Analyst
A Business Analyst is responsible for analyzing business processes and making recommendations for improvement. By taking the Interactivity in Data Visualizations course, you may learn how to effectively use interactions in your project. This skill can help you succeed as a Business Analyst by enabling you to create interactive experiences that help stakeholders understand and make decisions about business processes.
Product Manager
A Product Manager is responsible for planning, developing, and marketing products. By taking the Interactivity in Data Visualizations course, you may learn how to effectively use interactions in your project. This skill can help you succeed as a Product Manager by enabling you to create interactive experiences that help users understand and use products.
Web Designer
A Web Designer is responsible for designing and developing websites. By taking the Interactivity in Data Visualizations course, you may learn how to effectively use interactions in your project. This skill can help you succeed as a Web Designer by enabling you to create interactive experiences that are both visually appealing and easy to use.
Software Developer
A Software Developer is responsible for designing, developing, and testing software applications. By taking the Interactivity in Data Visualizations course, you may learn how to effectively use interactions in your project. This skill can help you succeed as a Software Developer by enabling you to create interactive experiences that are both functional and engaging.
Graphic designer
A Graphic Designer is responsible for creating visual content such as logos, brochures, and websites. By taking the Interactivity in Data Visualizations course, you may learn how to effectively use interactions in your project. This skill can help you succeed as a Graphic Designer by enabling you to create interactive experiences that are both visually appealing and engaging.
Market Researcher
A Market Researcher is responsible for conducting research to understand consumer behavior. By taking the Interactivity in Data Visualizations course, you may learn how to effectively use interactions in your project. This skill can help you succeed as a Market Researcher by enabling you to create interactive experiences that help researchers collect and analyze data.
Content Strategist
A Content Strategist is responsible for planning, developing, and managing content. By taking the Interactivity in Data Visualizations course, you may learn how to effectively use interactions in your project. This skill can help you succeed as a Content Strategist by enabling you to create interactive experiences that are both engaging and informative.

Reading list

We've selected seven 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 Interactivity in Data Visualizations.
Provides a solid foundation in data visualization principles and techniques, covering topics such as visual perception, data storytelling, and choosing the right visualization for different types of data.
Focuses on the art of communicating data effectively, covering techniques for crafting compelling narratives, designing visually appealing presentations, and engaging with audiences.
Showcases a wide range of dashboard examples across different industries and provides practical guidance on designing effective dashboards for specific business needs.
This classic book on dashboard design provides insights into the cognitive principles behind effective visualization, emphasizing the importance of simplicity, clarity, and focus.
This seminal work on data visualization explores the principles of graphical excellence, providing timeless guidance on creating clear, accurate, and visually appealing visualizations.
This textbook provides a comprehensive foundation in the principles and practice of data visualization, covering topics such as statistical graphics, visual perception, and interactive visualization.
Explores the use of visual complexity in data visualization, providing examples and insights into the use of complex and abstract visualizations to convey data insights.

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