PHDA testimonials

Overall, I had a positive program experience. I greatly appreciated the asynchronous format as it allowed me to develop my skills without risking my other professional commitments. I believe the skills I have learned through this program will be directly relevant to my current research interests. The PHDA program is a great program for anyone who is interested in further exploring population-level analyses."

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"The growing importance of spatial thinking in health policy and epidemiology underscores the immense value of this course for researchers and practitioners alike. As a frequent user of GIS, I found this course to be an indispensable update to both my technical skills and theoretical understanding of health geography and spatial data analysis.

The course material challenged us to think creatively and conduct our own projects with the support of the instructor, while the weekly lab assignments guided us closely through the necessary procedures. Weekly discussions encourage us to discuss issues and themes in health GIS and share ideas, an invaluable experience for learning and networking."

"One of the greatest strengths of the program is the access to the Secure Research Training Lab. It holds practical, well written, easy to follow lab activities in data analytics and a very used de-identified BC Heath Dataset as well as other health related training datasets for applied learning. This provided an excellent learning environment for professional development training in data analytics."

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"The Working with Administrative Data course covered a wide range of topics from ethical and privacy issues encountered when using administrative data for research to data management of complex datasets. The instructors ensured all students were able to do the assignments using SAS. Their support has helped me build skills that I now often use at work. The training datasets were also useful in building applied skills when using administrative data to answer research questions. I would recommend this course for anyone who is working in population and public health and uses administrative data in their job."

"I developed an understanding of not only how descriptive statistics can be geographically interpreted, but also how inferential statistics can be geographically interpreted. It taught me how to begin thinking spatially in-terms of patterns of health outcomes – neighbourhood make up, neighbourhood location, infrastructure, environmental concerns, etc."

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