Data Visualization
This course introduces the fundamental principles and practical applications of data visualization in biomedical data science. Students will learn how to translate complex biomedical and clinical data into clear and interpretable visual representations, and apply visualization techniques to explore, analyze, and interpret biomedical and clinical datasets. The course covers foundational concepts, such as perception, color theory, and visual design, along with best practices in data communication. Students will gain hands-on experience with visualization tools to create static and interactive visualizations. The student will apply visualization techniques to real-world biomedical datasets, integrating visual analytics into workflows, and communicating data insights to diverse research and clinical audiences.
Prerequisites & course information
Credit 3 units. Typical periods offered: Fall
Sources
- Course catalogue โ2026โ2027