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PATH 111 Data Science Through Visualization Units: 3.00
This blended course is designed to bring awareness and raise excitement in data science. Through different types of visualization students will learn key concepts of data science and big data investigation. The course will also explore examples of how data science is applied to solve problems in various disciplines.
Learning Hours: 120 (12 Lecture, 24 Group Learning, 36 Online Activity, 48 Private Study)
Requirements: Prerequisite None.
Exclusion STAT 161/3.0.
Offering Faculty: Faculty of Health Sciences
Course Learning Outcomes:
- Perform, observe, and interpret visualization of data from variety of sources.
- Apply skills acquired to critically evaluate and summarize data.
- Describe appropriate data visualization for diverse types of challenges.
- Collaborate and communicate an understanding of concepts and diverse perspectives in data science.