"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."
"The Epidemiological Statistics course includes a range of topics from calculating relative risk to meta-analysis. The instructor took the time to ensure all students were able to do the assignments and the course readings included useful references. I would recommend this course for anyone who is working in population and public health and uses epidemiological methods in their employment."
I first heard about the PHDA program through the PopData e-news updates (i.e., regular emails sent through their listserv with various announcements). The courses seemed relevant to my work as a health services researcher, and the testimonials from previous students seemed positive and relatable. The fact that the PHDA program qualifies for CIHR funding as part of their Professional Advancement Award really motivated me to enroll in the program.
I enrolled in four courses, offered continuously between fall 2014 and September 2015. 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 other two courses I took (PHDA-02 Epidemiological Statistics and PHDA-03 GIS and Population Health) were both very interesting and informative. PHDA-02 provided me with a good statistical overview as it relates to the health sciences, and PHDA-03 introduced me to a completely new system for me – GIS – and taught me how I can supplement some of my research with consideration to health geography.
I have been able to use the skills learned about data management using SAS directly in my current research projects. I’ve been able to share some of the knowledge gained in the PHDA-05 course with colleagues who are working on projects that require analysis of longitudinal data.
I found a strength of the program to be the engagement of the other students, who are usually all from diverse backgrounds with varying levels of experience with the content. It was helpful to learn from each other. The course workload was also quite manageable for those who are working full-time. The teachers also all seemed knowledgeable and passionate about the topics, and were willing to help students answer their questions or provide assistance for the course projects.
I would recommend the program to others who are interested in building on their data analytic/ population health expertise. I would suggest budgeting in the time to read through the course materials and do the extra labs that are provided – it always takes longer than you think it will!
"I think the highly trained, expert instructors, who are approachable and provide excellent feedback are a major strength. Certainly, the small class sizes allow for that individualized feedback and a continual dialogue with instructors in the discussion boards as well. I think the Moodle course site is very easy to use, and in general, the courses were very well organized.
Through the program, I came to learn about the enormous benefits of using already-collected administrative health data, and the process for doing so. I think my skills with SAS and ArcGIS will be the most useful to me, but the larger concepts of data integrity, (PHDA 01), what type of analysis is used in certain situations (PHDA 02), and considerations when doing spatial analysis (PHDA 04) are immensely important as well."
"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."
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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