Interactivity in Data Visualizations

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.
Course info
Level
Advanced
Updated
Sep 28, 2020
Duration
1h 52m
Table of contents
Description
Course info
Level
Advanced
Updated
Sep 28, 2020
Duration
1h 52m
Description

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.

About the author
About the author

Tiffany France is a designer and front end developer focused primarily on data visualization. She resides in Virginia where she works as a freelancer on web projects.

More from the author
Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi, everyone. My name is Tiffany France, and welcome to my course, Interactivity in Data Visualizations. I am a freelance data visualization designer and developer with about 15 years in the field. In this course, we're going to deep dive into interactive thinking and techniques. Some of the major topics that we will cover include UX and HCI thinking to make successful interactions, understanding the primary tasks of an information seeking user, and incorporating storytelling as part of the interactivity. By the end of this course, you'll know the basics of data visualization interaction theory. Before beginning this course, you should be familiar with some method of developing interactive visualizations. I hope you'll join me on this journey to learn interaction with the Interactivity in Data Visualizations course, at Pluralsight.