CSD 2101 - DATA AND STATISTICAL LITERACY

Minimum Credits: 3
Maximum Credits: 3
This course is designed for health professionals who will make use of statistical methods in research projects or in interpreting literature. The course provides an overview of methods for understanding data, including visualization approaches, descriptive statistics, and statistical modeling and inference. Methods will be motivated by real-world data, and students will gain hands-on experience using the free, open-source R statistical programming environment. The course will focus on practical application and conceptual understanding of statistical approaches. The foundation achieved through this training will assist students as they conduct their own research and/or engage in evidence-based practice in their clinical careers.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Course Requirements: School of Health and Rehabilitation Sciences students only.

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