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 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.

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.

I was in Canada and the program seemed a perfect fit to my interests.

I thoroughly enjoyed the courses, although sometimes I had trouble keeping up.  Having said that, I found the lecturers very sympathetic to my needs.  It was great to develop more understanding of the analysis of administrative datasets and in particular learning how to use geocoded data.

I will use my skills to undertake some more specific analysis using linked data. In particular, I plan to undertake some mapping of hotspots where illicit drug use is most common. For my interests at this time I found longitudinal data analysis and geocoding the most helpful. This is because with increasing use of multiple drugs it is important to determine where outbreaks occur and be able to establish cohorts of people who use these substances and then follow over time determining predictors of change.

The flexibility of the modules was very good and I appreciated learning from other students when there was something I couldn’t solve. For example when I couldn’t run a particular program, I could easily get assistance with this.  Having access to previous assignments on the same topics made things much easier as well.

Yes, I would recommend this program and regularly circulate information about the courses as updates come to me.

It was a really great experience and I learnt a great many new things so thank you!

I learned about this program through the Canadian Association of Geographers website as I was a member of this group in 2013 and have a degree in Human Geography. At the time I enrolled in the program, I was working directly in population health research and I felt that I needed to upgrade my data analysis skills.

In the past, I had done one short online course in mapping within my Master’s program but it was primarily a theoretical course. I was attracted to the PHDA program because of the applied nature of the courses.  I found all of the PHDA courses very useful, and at different times during my program different courses served me better. For example, I was doing mapping in my job when I took the Population Health and GIS (PHDA 03) course.  Then later I happened to be using statistics in my job when I took the Epidemiological Statistics (PHDA 02) course.  In hind sight, I wish I had completed the courses in order of least difficult to most difficult, as the order in which I took the courses affected the learning curve involved for me. (i.e.: I did PHDA05 before I had taken PHDA01 where I could have learned basic SAS skills).  I found PHDA03 and PHDA02 the most useful to me as they supported my immediate work needs the most.

Over the two years (2013-2015) it took me to finish the program, I had three different jobs. All of them have been contract or maternity leave positions, and I believe the data analysis and mapping skills have helped me to be employable in each situation. All the courses have supported my knowledge, skills and confidence to use data more effectively. In particular the way I approach the organization, structure and use of data has benefitted my work in many ways.

I liked the knowledge of the instructors. They seemed very willing and able to give constructive and positive feedback, even at times when I struggled most with personal issues that affected my ability to do my best coursework. I liked being able to use an applied project in PHDA03 to complete one of my course assignments as it made the learning very applicable to the real world. I feel the certificate was a great complement to my human geography work during my masters in environmental science.

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.

I found the course formats to have a strong mix of individual learning, group work, academic research, and practical data analysis application. I was fortunate to obtain funding from CIHR to take this program and also benefitted from gaining the student rate for the courses. I would encourage others to look at these options early as they are time and availability sensitive but are definitely worth the effort and personal follow up.