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.

I was looking for a professional development opportunity to brush up my data analysis skills and further develop them. I found about the program online through my own search. Reviewing the course offerings, I quickly thought the program would be a great fit for me.

All four courses I have taken offered different benefits. Epidemiological statistics was a great review with additional learnings. I appreciated gaining practical experience with tools I wasn’t previously familiar with – e.g. SAS and ArcGIS. Through Program Monitoring and Evaluation, I have gained a new skillset and understanding of evaluation that I can apply to my professional work.

As noted above, I have been able to apply tools I’ve learned from program evaluation to my current work, for our program evaluation. Although I haven’t directly applied other data analysis skills to my work yet, I hope to do so soon.

Great instructors with content expertise who are also very accessible for extra support, good class size with diverse classmates, and flexibility that the online learning offers.

Yes. If anyone is interested in one of the courses offered, I would encourage them to look into the certificate program as I think they would likely find other courses also interesting and valuable in strengthening population health data analysis skills. I would also emphasize that although online learning offers flexibility they would need to be able to set aside a chunk of time each week to successfully complete the course and make the most of it.

I was looking at programs that were more data-oriented because my data skills were not quite high enough to get a good data-centric job. So, while I was finishing my MA, I figure PHDA would serve me well. Plus, the tuition was much lower because I was a student!

I found the Working with Administrative Data (PHDA 01) was a good course. It was less intensive and slower paced than the other PHDA courses. I took this course last because of my time frame for completing four courses. It would probably have been better to take this course earlier on.  The Population Health and GIS (PHDA 03) course was the most interesting course I took. The labs were easy to follow and I enjoyed the final project.  When I first enrolled in the program, I thought that PHDA 01 and PHDA 03 would be the most valuable courses for my skill development but in the end it was the Health Evaluation and Program Monitoring (PHDA 06) course that really helped me land a job after graduation. PHDA 06 was different from the other PHDA courses. It felt a bit like a satellite course in the program as it included a health evaluation project rather than data analysis lab work. I learned a lot from the peer review process we used.

I just started working after graduation, but so far, I have applied evaluation skills that I learned from the Health Evaluation and Program Monitoring (PHDA 06), including logic models, evaluation methodology, gantt charts and interview guides. My current role, as an Evaluation Lead, will also include some data analysis, so the Working with Administrative Data (PHDA 01) and Epidemiological Statistics (PHDA 02) courses will be helpful for that too.

I think the BC-specific focus is the main strength. I came out understanding more about the data available to help with BC-specific health policy. Perhaps, this doesn’t help attracting students outside of BC, but is great for our province’s capacity for good health decision making.

I have recommended this program to others. However, I also warned them that it was a lot of work – especially Epidemiological Statistics (PHDA 02). I think my estimated hours per week for this course were at least 15.  I also found the group work in PHDA 02 more time consuming than the other PHDA courses.  The work in the Secure Research Training Lab (SRTL) can also increase the amount of time you need to spend on the courses depending on group work or your knowledge of the subject matter.

I learned about the PHDA program from the Director of the Social Dimensions of Health while I was taking the program at UVic. I was interested in the PHDA courses as a way to expand my skill set, enhance my knowledge of statistical software programs and gain practical skills to assist me with my PhD dissertation.

I enjoyed all the courses and the practical skills they provided especially with statistical software such as SAS, Mplus, and ArcGIS. I think I gained the most benefit from the PHDA 05 course and the PHDA 03 course. The PHDA 05 in Longitudinal Analysis and Multilevel modeling helped me gain skills in Mplus software and get an introduction to modeling. This work was very helpful in preparing me for a more advanced longitudinal modeling credit course I took at UVic last year. The PHDA 03 course in Population Health and GIS introduced me to a brand new subject area as well as practical skills in the use of ArcGIS.

I have been able to use the applied skills I learned in my role as a research assistant to help with grant applications. I will also be able to use these skills in the development of my dissertation. I plan to document the statistical software and analytic skills I have learned in all the PHDA courses on my CV. I know these skills will make me more marketable for future job opportunities.

The program has given me valuable skills and practice in a variety of statistical software. The PHDA program team including professors, IT and admin staff were all very helpful and a very supportive part of my program experience. I also enjoyed studying with fellow colleagues who had a broad range of work and research skills. The calibre of student in all my PHDA courses was very impressive and many were very willing to share their knowledge and analytic expertise. For this reason I really benefited from the partner and group work in many of the courses. Although the online format of the courses came with some weakness (as you don’t get to connect with people in person), I really appreciated how the asynchronous delivery provided flexibility to work and take courses at the same time. I also appreciated having transcripts of all the course video presentations for easy reference.

I have and do recommend this program to others. Some of my colleagues, whose work focuses more on qualitative rather than quantitative data, are a bit intimidated to consider the PHDA courses. For others who feel the same way I would certainly recommend Working with Administrative Data (PHDA 01) as a course that any research student would benefit from. I would also suggest that program applicants try to take PHDA 01 and PHDA 02 prior to PHDA 05. Although you can take courses in any order, I found the PHDA 05 course in Longitudinal Analysis and Multi-level modeling to be the most advanced level PHDA course I took.

I saw a poster for the programme advertised on my campus, and found the course selection to be highly relevant to my doctoral studies.

The variety of courses provided learning opportunities for various software programmes, e.g., SAS and ArcGIS, while also teaching fundamentals of epidemiological statistics and other relevant bases for public health research. The use of geographical information systems in two courses was also of immense benefit. 

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 datasets, 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.

I would (and already have) recommended the PHDA programme to colleagues and young researchers. However, I would emphasise setting aside time to do the readings and work carefully through code. Also take the opportunity to learn as much from the instructors as possible. The papers and lessons are useful references for the future as well. I wish I had kept them on paper!

No, but I want to thank the administrative staff for managing such an excellent programme. Also, I am very happy that they offer a graduate student rate! Many thanks!