PHDA testimonials

If you would like to specify which course(s) you would like to see testimonials for, you may do so by selecting the course(s) from the list below and hitting the APPLY filter button. You may select more than one course. Otherwise, the testimonials are listed below, in random order.

PHDA full testimonial

How did you learn about the program and what motivated you to enroll?: 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.
Tell us about your course experience. What skills did you develop and which courses provided the greatest benefit to you?: 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.
How have you been able to (or how do you plan to) apply your new skills in your work/research?: 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.
What do you think were the strengths of this program? Please provide examples.: 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.
Would you recommend this program to others? If so, what recommendations/suggestions would you give those interested in applying to this program?: I would definitely recommend colleagues and others to take this program for further professional development.
Any additional comments you would like to add?: My program experience has been great and thank you for all the support I received from instructors and staff members in the PHDA program.

PHDA 01 Working with Administrative Data

"The Working with Administrative Data course covered a wide range of topics from ethical and privacy issues encountered when using administrative data for research to data management of complex datasets. The instructors ensured all students were able to do the assignments using SAS. Their support has helped me build skills that I now often use at work. The training datasets were also useful in building applied skills when using administrative data to answer research questions. I would recommend this course for anyone who is working in population and public health and uses administrative data in their job."

PHDA Overall program/course experience

"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."

PHDA 06 Health Services Program Monitoring and Evaluation

"I found the PHDA 06 was one of the most practical PHDA courses. I was able to apply the skills that I was learning to a program evaluation that I was leading within the Infection and Control Department at Interior Health Authority. Being able to directly apply the knowledge I was gaining in the course made an amazing difference to my skill development. Overall, it was a great learning experience and really provided valuable overarching guidance to my work. It supported my work in finalizing a questionnaire for stakeholders and reporting findings to Interior Health."

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PHDA full testimonial

How did you learn about the program and what motivated you to enroll?: My thesis supervisor told me about the program. My thesis project involved the analysis of Alberta Health’s administrative data on influenza vaccination and I needed to have a working knowledge of the tools of administrative data.
Tell us about your course experience. What skills did you develop and which courses provided the greatest benefit to you?: The courses were quite intensive but they provide the analytic tools that were complementary to the course experience I gained in my graduate program. I gained evaluation, spatial analytic and advanced analytical skills for modelling health outcomes data. Health Services Program Monitoring and Evaluation, Longitudinal Analysis and Multi-Level Modeling of Population Health Data, and GIS and Population Health were the courses that provided the greatest benefits to me.
How have you been able to (or how do you plan to) apply your new skills in your work/research?: I have actually used the skills I gained in the administrative data course to analyze my thesis data. I am currently working on a research project in which I am trying to incorporate the advanced analytical skills I gained in the ‘ Longitudinal Analysis and Multi-Level Modeling of Population Health Data’ course to specify my models. In the near future, I plan to incorporate some elements of spatial analysis into my research work.
What do you think were the strengths of this program? Please provide examples.: The strengths of this program include:

Excellent, experienced instructors for each of the courses. Use of fellow students as peers to give feedback on assignments was a particular strength of the PHDA06 course in Health Evaluation and Program Monitoring. Also, discussion forums that promoted exchange of information amongst students using real life examples.
Would you recommend this program to others? If so, what recommendations/suggestions would you give those interested in applying to this program?: I would recommend the program to working professionals, researchers, and graduate students.

My suggestions for individuals entering the PHDA program would be to prepare for a very intensive program and to avail yourself of the full range of excellent resources that are available for the program, including the reading materials, the discussion forum, the instructors, the program coordinators, the program lead and the IT online help desk. I found all of them essential to achieving a successful outcome.

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PHDA testimonials

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