PHDA testimonials

I learned about the PHDA program through browsing on web and was motivated to get more training in population health data analysis while working full-time.

Although the course load was a bit heavy at times, I think I’ve learned a lot and developed hands-on experience in analyzing population health data using SAS and ArcGIS.

I have not yet had a chance to utilize all the knowledge and skills I’ve gained in my current work, but definitely have a better understanding of results that are analyzed using ArcGIS.

The strengths of this program include: good organization of coursework, exposure to variety of relevant topics, hands-on experience using several analytical software, excellent support and feedback by instructors, and a flexible schedule.

I would definitely recommend colleagues and others to take this program for further professional development.

My program experience has been great and thank you for all the support I received from instructors and staff members in the PHDA program.

I learned about the PHDA program through researching continuing education certificates focused on population-level health administrative analysis. I was motivated to do so as I am particularly interested in health services research during the end-of-life phase.

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 found PHDA05 (Longitudinal Analysis and Multi-level Modelling of Population Health Data) to be the most rewarding as it exposed me to higher level quantitative analyses. In addition, I found PHDA03 (Population Health and Geographic Information Systems) very interesting as it provided applicable GIS uses for health services research.

I believe the skills I have learned through this program will be directly relevant to my current research interests. Also, 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.

The collaborative activities throughout the various courses were greatly appreciated, despite the asynchronous format!

Absolutely – the PHDA program is a great program for anyone who is interested in further exploring population-level analyses. For prospective students, I recommend honing on your SAS skills prior to program completion. While not necessary, having prior experience using SAS is beneficial to successfully completing courses.

Overall, my experience was largely positive. The instructors are very knowledgeable and accessible to students, and the program staff are always helpful!

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 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 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!