PHDA testimonials

"I would definitely recommend this program to my colleagues or others who would like to develop analytical skills and knowledge in data analysis and the use of health data.

I benefited by having an access to various analytic tools and different types/sources of health administrative data. They included a good balance of practice and theory. I did not find these kinds of courses were available to me when I was at University. In addition, I had very practical hands-on practice using statistical analytic tools such as SAS or ArcGIS which are not freely available for public use."

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"The courses I found to be of greatest benefit to me and my work were PHDA 01 (Working with Administrative Data) and PHDA 05 (Longitudinal Analysis and Multi-level Modeling of Population Health Data). These courses provided practical skills that I find I apply regularly to my job, and made me much more comfortable with using data analytic programs like SAS."

"The flexibility of timing due to the entirely online nature of the program stood out to me. I could work on things when I had the time, which I think is a great feature for people who are generally working full time. I also liked the mix of discussion and individual assignments in the courses; getting to hear others’ opinions and experiences was very useful."

"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."

"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."