PHDA testimonials

"I found PHDA 03 (Population Health and Geographic Information Systems) very interesting as it provided applicable GIS uses for health services research. I plan on increasingly incorporating GIS analyses in my health services research in order to understand another dimension of care accessibility during the end-of-life phase. "

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"I enjoyed the Health Evaluation course (PHDA 06). Although I am familiar with this subject area, I found the concepts were presented in an effective way. Over the 12 weeks, we put together a health evaluation proposal. Work from each weekly module contributed to this final project. I think this was an interesting way to learn about the practical aspects of Health Evaluation."

"Allowing students to gain hands on experience remotely with software packages such as ArcMap, SAS, and Mplus while having the flexibility to work full time is invaluable. Also having the opportunity to use Population Data BC’s administrative data with these packages offered a type of learning experience that I could not have had anywhere else."

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"The Secure Research Training Lab (SRTL) was the best. It was a bit complicated to start with for the first time, but I quickly got used to logging on and working in the environment. It’s well worth the effort to be able to do hands-on work with data, with peer and instructor support, and very good technical support (the few times I needed it).

Another strength of the program is being able to work with motivated and knowledgeable peers, learn from one another through well-moderated forum discussions and collaboration. Having dedicated and clear instructors who are patient with distance ed/online format was also a major advantage. Although you are only required to take four courses to achieve the certificate, I took all six courses available. I felt all courses were very positive experiences for me, with top notch students and teachers who were very engaged and supportive."

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"Epidemiological Statistics was a great refresher for advanced statistics using sample data sets and applied examples. It was a very useful and informative course."