PHDA testimonials

"I would recommend the program to working professionals, researchers, and graduate students.

The program had many strengths including: excellent, experienced instructors for each of the courses; use of fellow students as peers to give feedback on assignments (this was a particular strength of the PHDA06 course in Health Evaluation and Program Monitoring); and discussion forums that promoted exchange of information amongst students using real life examples".

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"I took the PHDA 03 course to update my data analysis and GIS skills so that I could apply them to my current position as senior policy analyst in environmental health. I have a number of years of policy analysis experience, which I felt would be complemented by focused studies on the application of data analysis and GIS to population and public health policy questions. The course provided a comprehensive overview of how GIS can be used to investigate various population and public health questions including: mapping administrative data; use of spatial targeting, tailoring and generating to inform health policy development; estimating access to health care services; chronic and communicable disease surveillance; and environmental health and exposure assessment. 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.

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."

"Although I have experience in the area of Population Health, I had no formal training working with layered data sets. The Working with Administrative Data course was good as it included making a data dictionary and use of admin data. One of my ongoing projects at work involves assessing trends in surgery wait times for lung cancer patients. This work involved analysis of local data as a pilot project looking for trends in regional variations; I used techniques learned in PHDA 01 to facilitate this analysis. I am happy that I took PHDA 01 before PHDA 02 as I didn’t have strong SAS skills and PHDA 01 includes an introduction to SAS skills from the very beginning."

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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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