Learn why, what, how about data visualization in simple and easy way
InstructorUI5 Community NetworkThe curriculum provides a structured look at chart taxonomies, scale, and the DIKW process to explain how data transforms into knowledge.
Instruction integrates user experience principles into the data visualization workflow.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This screenshot displays a web gallery featuring a grid of diverse data visualization types, including labeled examples such as Fisheye Distortion, Chord Diagram, and Word Cloud.
This diagram illustrates a project workflow timeline featuring key validation stages such as wireframes, technology choices, and user acceptance testing.
This slide poses questions about technology selection and user demographics, highlighting considerations for technical landscape and capabilities in data visualization projects.
This slide illustrates the concept that visual processing is faster than text by contrasting a 30,000 BC cave painting of animals with a 3,000 BC cuneiform tablet.
The material focuses on theory rather than providing practical guidance for using specific software or coding libraries.
Mentions of older technologies like Flash and Internet Explorer suggest the content may not reflect the current technological landscape.
The curriculum aligns well with the declared target audience of beginners seeking an introductory overview.