Focuses on transforming complex datasets into intuitive graphical representations for stakeholder decision-making.
Course overview
This course focuses on transforming complex datasets into intuitive graphical representations for stakeholder decision-making. You will learn how to move beyond basic charts and build compelling visual stories that help business leaders understand trends, spot anomalies, and act on data. The course covers the full pipeline from data preparation to polished visual output.
You will work with real-world datasets, using tools commonly found in the industry. The focus is on clarity, accessibility, and design principles that make data easy to understand. By the end of the term, you will have a portfolio of visualizations ready to show in interviews or co-op placements.
Who takes this course
This course is a required component of the Data Analytics graduate certificate program. It is also open to students in other Computing & Information Technology programs who have completed the required prerequisites.
Credits: 3 · Hours: 45
Prerequisites
Learning outcomes
- Select appropriate chart types and visual encodings for different data structures and audience needs
- Build interactive dashboards using industry-standard visualization software
- Apply colour theory and layout principles to improve readability and accessibility
- Transform raw data outputs into clear narratives for non-technical stakeholders
- Evaluate visualizations for accuracy, bias, and user comprehension
Evaluation
| Component | Weight (%) |
| Weekly visualization labs | 40 |
| Mid-term dashboard project | 30 |
| Final capstone presentation | 30 |