CPSC 4820: Visualization for Data Analytics
| Course Format | Lecture 2.0 h + Seminar 0.0 h + Lab. 2.0 h |
| Credits | 3.0 |
Course Description
Data analysts uncover trends and patterns in data by creating and using effective visual formats. Students learn techniques for effectively communicating both qualitative and quantitative data in tables, charts, infographics, and interactive elements. They learn the role and importance of colour theory, visual perception, and cognition, as well as design principles in the development of appropriate data visualizations.
Students will receive credit for only one of CPSC 4260 or 4820.
Registration in this course is restricted to students admitted to the Post-Degree Diploma in Data Analytics and Post-Degree Certificate in Data Analytics.
Prerequisite(s): A minimum "C" grade in CPSC 4800 and DANA 4800.
Course Attributes (New Window)
Check course schedule availability » Check if this course is Transferable » Check Bookstore for required textbooks »