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Course Description

This course will provide participants with hands-on experience in advanced quality improvement methods. Learners will hone their ability to make data-driven decisions by exploring hypothesis testing, interpreting p-values, and working with risk levels. They will gain proficiency in statistical tools, like t-tests, ANOVA, and regression, enabling them to analyze data, pinpoint root causes, assess risks and use DMAIC problem-solving methodologies. By the end of the course, learners will be equipped to lead quality improvement projects.
 

Notes

Scheduling for this course is coming soon!

This course is fully online with both asynchronous and synchronous components, meaning that there are only a limited number of times where you will be asked to be online for a live synchronous session via Zoom or Google Meet. Dates and times for these sessions will be posted in the course section schedule. 

Throughout the course you can expect an interactive experience where you will engage with weekly module content and activities independently, as well as collaborate with your peers through discussion forums and group projects. Please note that assignments and discussion participation may have deadlines. 

Requisites

Prerequisite: CYPG 630

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