"I enjoyed all the courses. In particular, I found the Population Health and GIS (PHDA 03) course very interesting and fun as I had never worked in this subject area before. The instructor and course content provided step by step directions and good support."
"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."
"The courses that provided me the greatest benefit included the Population Health and Geographic Information Systems (GIS), and Spatial Epidemiology and Outbreak Detection.
Using the GIS and SAS skills that I learned from the PHDA program, I was able to create a Normalized Difference Vegetation Index (NDVI) layer using GIS software, which showed peak greenness for the entire country over a ten-year period. Using this data and other administrative databases a team of researchers led by Dr. Dan Crouse and myself, conducted a research study that looked at how living by residential greenspace can impact longevity."
"Courses which benefited me the most are PHDA 03 Population Health and Geographic Information System (GIS) and PHDA 04 Spatial Epidemiology and Outbreak Detection.
I am really satisfied with these courses especially the hands-on experience gained while using ArcMap to map diseases and assess spatial dependences. Skills developed include generating choropleth map, joining attribute tables to shapefile and perform geographically weighted regressions."
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.
University of British Columbia, 201-2206 East Mall, Vancouver BC V6T 1Z3
Health Data Research Network Canada (HDRN) member
International Population Data Linkage Network (IPDLN) member
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