"I would highly recommend this program to anyone wishing to gain a strong foundation in GIS and data, even those individuals not directly involved in the population health field. All of the courses force the student to think critically, develop time management skills, become effective data organizers, and learn to work in a virtual team towards a common goal within very tight parameters. I found all staff related to the various components of the program very knowledgeable and considerate."
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."
I was browsing for the statistical method (longitudinal analysis) on the Google website as it related to a project I was doing at work. Then, I found the course (PHDA05) on the search results. After reviewing the program description, I found the program included many courses that I was most interested in. The course lab components were particularly attractive as they enabled me to practice with various statistical software including SAS, ArcGIS, and Mplus and work with actual health administrative data.
Overall, the course(s) experience was great. The greatest benefit to me was learning about GIS and practicing the learning through lab assignments with ArcGIS in the PHDA 03 course. Meeting classmates online with diverse backgrounds/experience, sharing ideas and learning from each other on the various topics was another valuable experience. Often, I was inspired by many of my classmates who were passionate about the topic that we were asked to discuss in the discussion forum. They brought their real-life examples from school and work. Just by reading other students’ thoughts or comments motivated me to participate and helped me learn and digest concepts in different ways.
Personally, I haven’t had a specific chance yet to apply what I’ve learned through the program. In the near future, I hope that there is a chance for me to learn more about GIS and use ArcGIS by applying what I’ve learned from The Population Health and GIS course (PHDA 03). With only one course of completion in GIS, I don’t have enough confidence with ArcGIS skills I learned to complete a GIS related work project on my own at this point.
Personally, I benefited by having access to various analytic tools and different types/sources of health administrative data. They included a good balance of practice and theory. I did not find these kinds of courses were available to me when I was at University. In addition, I had very practical hands-on practice using statistical analytic tools such as SAS or ArcGIS which are not freely available for public use.
Yes, I would definitely recommend this program to my colleagues or others who would like to develop analytical skills and knowledge in data analysis and the use of health data. I found the Moodle course site was well organized with good technical support. The instructors were also very helpful.
"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."
"The skills learned in this programme are highly and directly relevant to my doctoral research, and are being used on a near-daily basis. For example, I use both SAS and GIS to analyse various administrative data sets, and have found that the statistical background gleaned from this programmes has enabled me to read more critically and use more sophisticated analyses in my own work.
The diversity of courses is an immediate strength, as is the online format. Every instructor was highly engaged and enthusiastic, and was happy to have discussions about course material and further topics via e-mail."
University of British Columbia, 201-2206 East Mall, Vancouver BC V6T 1Z3
Health Data Research Network Canada (HDRN) member
International Population Data Linkage Network (IPDLN) member
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