CYBR 5720 Data Visualization

Techniques for presenting analytical data through graphical interfaces.

About this course

Data Visualization (CYBR 5720) teaches you how to turn complex information into clear, useful graphics. You will learn how to choose the right chart type, use colour effectively, and build dashboards that help people make decisions. This course builds on your knowledge of statistics and machine learning to focus on the presentation layer of data analysis.

Who takes this course

This course is a required elective for students in the Data Analytics graduate certificate program. It is also open to other Computing & Information Technology students who have completed the prerequisite courses.

The course is delivered in the Kingfisher Building on the Benchlands Campus.

Credits: 3 · Hours: 45

Prerequisites

• CYBR 5820 Statistical Analysis
• CYBR 5930 Machine Learning Basics

Learning outcomes

• Design clear and accessible visual displays for complex data sets.
• Apply colour theory and layout principles to enhance data readability.
• Build interactive dashboards using industry-standard tools.
• Evaluate visualizations for accuracy, bias, and audience fit.
• Translate raw data into compelling visual narratives.

Evaluation