Collecting data; summarizing and displaying data; drawing conclusions and making decisions using data; probability background, confidence intervals, hypotheses tests, regression, correlation. Not open ...

This course is the starting point for learning about statistical analysis in clinical and public health research. Attendees will learn the key concepts from statisticians working with the many ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Basic statistical concepts presented with emphasis on their relevance to biological and medical investigations. Evaluation is through problem sets, quizzes embedded within asynchronous videos, use of ...

This course is compulsory on the Master of Public Administration. This course is not available as an outside option. Also available to other MPhil/PhD students with the agreement of the course tutor.

Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on. The core of R was developed during the 1970s and since then, many libraries ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...