PHDA testimonials

I Iearned about the program through the UVic Continuing Studies website while I was an under grad at UVic. I later worked for the Provincial government. As a government employee I was eligible to get financial support for professional development training. The PHDA program was a good fit for the analytic skills I needed. I already had some experience working with Administrative data.

I found the courses I took, PHDA 01 Working with Administrative Data, PHDA 02 Epidemiological Statistics, PHDA 03 Population Health and GIS and PHDA 04 Spatial Epidemiology and Outbreak Detection, all followed in suite to cement my knowledge and skills in methods and research design. The first two courses, PHDA 01 and PHDA 02 were more of a review/refresher for me from my previous academic and work experience. The PHDA 01 course included learning SAS skills and creating your own study. The PHDA 02 course focused more on practical analytic work and less on statistical theory.  My favourite course was PHDA 04. It applied all the background/analytic skills I had learned within previous PHDA courses and taught me new geospatial skills.

My new skills would have proven useful in my previous role as a policy analyst for the provincial government, however I have switched positions. I intended on using my SAS skills and geospatial analysis tools to analyze the MSP data I had access to.

My new job is as a strategy analyst and the certificate has provided me knowledge about the potential use of administrative data to inform decision making. In completing this course, I have added another domain of knowledge which I can consider when developing strategic plans related to IM/IT.

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 useful 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.

Yes, I would definitely recommend this program to others.  For those just starting the program within the PHDA 01 course, I would recommend that they work carefully through the SAS components and try to keep their project work simple. It is also best to take one course at a time if you are working or taking full time studies.

My postdoctoral supervisor suggested it to me – my PhD work was qualitative, and I’m interested in doing more mixed-methods and quantitative research using administrative data so it seemed like a good fit. The fact that it was online and I could take the courses at my own pace was an additional motivator.

I developed a number of skills, most importantly in working with administrative data and statistical analysis. The evaluation course was probably the most useful as it is something I’d like to incorporate into my future research much more.

I am currently planning an evaluation of a health program that will include using administrative data, so hopefully it will give me plenty of opportunity to use the skills I’ve developed.

The flexibility of timing due to the entirely online nature of the program stood out to me. I could work on things when I had the time, which I think is a great feature for people who are generally working full time. I also liked the mix of discussion and individual assignments in the courses; getting to hear others’ opinions and experiences was very useful.

Yes, I would recommend this program to others, although I would definitely suggest only taking one course at a time. Even working only part time, taking two courses at once was a bit much.

My MSc supervisor recommended them based on the learning goals I had for my Master’s degree. UBC doesn’t offer anything like it, so we needed to look for partner institutions.

I completed the PHDA 03 Population Health and GIS and PHDA 04 Spatial Epidemiology and Outbreak Detection courses. By taking these courses, I developed an understanding of how to overlay multiple sources of data onto a geographic region (from city, to country, to continent). I developed an understanding of questions to consider in how I represent this information to the audience, so that bias in how it is represented is minimized. 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.

As part of my thesis.

The labs and the access to the SRTL were the biggest strengths of these courses. The SRTL had all the software, and all the data, and was really easy to access, and was well maintained and organized. The SRTL and labs made the hands-on learning REALLY effective and stress free. The labs were applied, and had very tangible learning outcomes associated with them. They were practical in purpose, and effective in implementation via the SRTL. The labs were very smooth and impactful.

Yes. I would say that future students should explore the labs as much as possible. To really forefront the learning that you get out of that. The lecture material and prep material is abstract, but if you can focus most of your time on the labs, you can experiment and learn a lot.