PHDA testimonials

I was looking for more training after MPH degree and came across PopDataBC’s free training webinars first, including GIS. I wanted more hands-on experience with data analysis to keep skills sharp while looking for job, so I applied and enrolled in the certificate program. After I began the program I was hired by a non-profit organization. My supervisors were also supportive of my continued studies which was great.

The GIS courses, PHDA 03 Population Health and GIS and PHDA 04 Spatial Epidemiology and Outbreak Detection provided the greatest benefits. They were excellent and introduced brand new skills for me. Prior to taking these courses I had some brief exposure to GIS within my Master’s program and through the free online PopData courses. The PHDA 03 and PHDA 04 course labs were very detailed and instructional, offering good balance between theory and practice. The courses generally had enough materials I could take away to continue working independently.

The Working with Administrative data PHDA 01 course was also very good. I got to work directly with administrative data early in the program and had a chance to become more familiar with strengths and limitations of data that is collected.

The PHDA 01 and PHDA 02 Epidemiological Statistics course also used SAS software which was very helpful to keep my skills sharp.

The PHDA 05 Longitudinal Analysis and Multilevel Modeling course allowed me to learn new skills in multilevel analyses.

The PHDA 06 Health Services Program Monitoring and Evaluation course was a bit different as it did not have an SRTL lab component. I had taken a very similar course within my Master’s degree but it wasn’t as applied as the PHDA 06 course which had a very practical project component. I found the instructor’s experience and feedback as well as the peer review work really enabled me to get a lot out of the course evaluation project I completed.

Two major takeaways from GIS courses: 1. Thinking spatially – mapping service needs and approaches based on geographical, spatial, and ecological features, including planning promotional efforts, targeting underserved areas; 2. Concrete tools such as ArcMap and especially free programs such as QGIS and R – use in workplace with little organizational investment

I’m also developing some ideas to do research on mental health service utilization in primary health care, potentially as part of my work.

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.

Yes, I have actually recommended the PHDA program to a few people. The population health data analysis certificate program is an excellent professional development opportunity for new analysts, public health professionals, and anyone with an interest in building on epidemiology and statistics basics. You will learn practical and marketable analysis skills through working directly with a variety of data sources including administrative, survey, and environmental datasets. I would highly recommend that individuals entering the program have their own research questions in mind or be open to exploring. You also need to be prepared to dig deep and manage your time so you can do the required work. The many hours you will spend in the SRTL will be well worth the effort!

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.