PHDA testimonials

"I plan to undertake some mapping of hotspots where illicit drug use is most common. For my interests at this time, I found the longitudinal data analysis course (PHDA 05) and geocoding skills in (PHDA 03) were 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."

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"I enjoyed all the courses. In particular, I found the GIS course very interesting and fun as I had never worked in this subject area before. I also benefitted from learning new SAS skills in other PHDA courses. Prior to taking the program, I had no knowledge of SAS.

The instructors were all very knowledgeable and experienced. They really supported students through engaging conversations and encouragement for our work assignments. The PHDA courses catered to both beginner students as well as those with experience in the field. Instructors were always willing to provide extra resources and support – the courses were never boring!"

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"The Health Evaluation and Program Monitoring (PHDA 06) course 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 have applied evaluation skills that I learned from this course, including logic models, evaluation methodology, gantt charts and interview guides."

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"The course was well structured. Through the course, I learned: a formal approach to developing, structuring and answering a research question using administrative data; how to clearly define the study population; how to develop a flow chart to illustrate, and guide, the development of an analytical dataset; and SAS skills. It was an excellent course and a good refresher for me, as it has been 5 years since I’ve done data analysis. A number of course assignments required me to pair with a fellow student and undergo peer review of one another’s code. It was interesting to see how my peer structured their code to produce their dataset. I enjoyed and learned a lot from this exchange. The flexibility of distance learning meant that it was possible to complete work at my own pace and schedule. It was also helpful to learn from students in different locations, who worked in related fields but had different strengths, skills and perspectives.

Finally, this course gave me experience working with administrative datasets and tools that can be difficult to access on the job. The opportunity to work with samples of real data exposed me to some of the challenges I could face at work in learning, cleaning, formatting and analyzing the data. I would highly recommend this course and the PHDA program to my colleagues. It’s a well-structured and organized program and provides a good theoretical and practical approach to population health data analysis."

"It was really good for me to gain more experience working with large data sets and use a secure research environment to get used to the complexities of various kinds of datasets we come across daily. The spatial data and network analysis work, applied longitudinal analysis techniques and foundational SAS skills I learned really benefitted my research work. Now when I am faced with new problems, I feel better equipped and much more confident to handle them.

I have done some online courses before. I felt the courses in this program were well organized. The labs were very useful and very applied, instructors were always available to answer questions and the weekly or biweekly course modules provided structure but also some flexibility."

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