"I found PHDA 05 (Longitudinal Analysis and Multi-level Modelling of Population Health Data) to be the most rewarding as it exposed me to higher level quantitative analyses."
"I found PHDA 05 (Longitudinal Analysis and Multi-level Modelling of Population Health Data) to be the most rewarding as it exposed me to higher level quantitative analyses."
"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."
Prior to coming to Canada, I had worked in the area of math and statistics. When I moved to Canada I pursued work in Data Management and then became particularly interested in the field of data analytics for health services. As a result, I searched online for a related program in this area and found information on the PHDA program. I had taken previous training courses in business and data analytics so the PHDA program seemed like a perfect way to expand my knowledge and skills within the field of population health.
The Working with Administrative Data (PHDA 01) course was a perfect course for me. It gave me a good introduction to the field of Population Health and provided a good refresher for my SAS skills.
The Epidemiological Statistics (PHDA 02) course was a fair bit of review for me as I have a strong statistical background. As a result, the health specific focus of the course and related terminology provided the greatest value to me.
The Population Health and GIS (PHDA 03) course was the most interesting but also the hardest course I took due to the project work and data management skills that were involved.
As I am now working in the healthcare field, I feel the health terminology and related analytic work I completed in the program have been helpful in my current workplace. In particular, I am using some of these skills in my reporting projects. Within the next couple of years I also expect that my work will be incorporating more geospatial skills so the foundation skills I have learned in this area will also be beneficial.
I feel this is a very unique program that combines the use of data analytics, statistical software and focused learning objectives related to the field of health. I also appreciated the fact that it was a fully online program with well-organized lectures, readings and remotely accessed lab work in health data analytics.
Yes, I would definitely recommend the program to others.
Overall the program was very helpful to my knowledge and skill development in the field of healthcare analytics. The program exceeded my expectations particularly because of the remotely accessed data analytic lab work that was more challenging than I anticipated. This work was very practical and very much oriented to real life case examples. The calibre of students in my courses was also very high as most were working professionals who brought valuable experience and knowledge to the discussion forums and project work.
"PHDA 03 and 04 provided useful tools for me. I had always wanted to learn to use ArcGIS software to explore health data, and have both a geography and clinical background, so PHDA 03 and PHDA 04 were especially interesting."
I saw a poster for the programme advertised on my campus, and found the course selection to be highly relevant to my doctoral studies.
The variety of courses provided learning opportunities for various software programmes, e.g., SAS and ArcGIS, while also teaching fundamentals of epidemiological statistics and other relevant bases for public health research. The use of geographical information systems in two courses was also of immense benefit.
The skills learned in this programme are highly and directly relevant to my doctoral research, and are being used on a near-daily basis. For example, I use both SAS and GIS to analyse various administrative datasets, and have found that the statistical background gleaned from this programmes has enabled me to read more critically and use more sophisticated analyses in my own work.
The diversity of courses is an immediate strength, as is the online format. Every instructor was highly engaged and enthusiastic, and was happy to have discussions about course material and further topics via e-mail.
I would (and already have) recommended the PHDA programme to colleagues and young researchers. However, I would emphasise setting aside time to do the readings and work carefully through code. Also take the opportunity to learn as much from the instructors as possible. The papers and lessons are useful references for the future as well. I wish I had kept them on paper!
No, but I want to thank the administrative staff for managing such an excellent programme. Also, I am very happy that they offer a graduate student rate! Many thanks!
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