Data visualization is the science and practice of encoding often large and complex datasets into visual representations to support their analysis and communication. Such a visualization can be worth more than a thousand words, as the saying goes — but only if done right. Thus, the aim of this course is threefold in: conveying the theoretical aspects and guidelines of a data visualization that make it a truthful and useful representation of the underlying data; practicing to create tailored data visualizations that follow these guidelines through a structured ideation process and a deliberate design approach; and training to critically read data visualizations and to reason about their validity and effectiveness on the basis of the introduced guidelines, and to suggest improvements where necessary.
Disclaimer:
DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.