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 02 Epidemiological Statistics
"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."

Gina Martin, Research Associate, Centre for Addictions Research of BC

 

PHDA Overall program/course experience
"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."

Gina Martin, Research Associate, Centre for Addictions Research of BC

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PHDA Overall program/course experience
"The program’s strength emerged from how the courses were offered sequentially (eg: PHDA 03 and then PHDA 04) and the incorporation of Lab work into the course curriculum which provided the opportunity for more practical knowledge to be gained. Another strength is the friendly learning environment and willingness of the instructors to go an extra mile to assist students to understand concepts and course materials."

Samuel Essien, PhD Candidate, School of Population and Public Health, University of Saskatchewan

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PHDA 05 Longitudinal Analysis and Multi-level Modeling of Population Health Data
"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."

Abe Hafid, Statistical Analyst

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PHDA Overall program/course experience
"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."

Amy Klepetar, Assistant Professor and Coodinator, School of Nursing, University of Northern British Columbia-Terrace

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