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

Sarah Costa, Health Economist, Canadian Centre for Applied Research in Cancer Control, BC Cancer Agency

 

PHDA full testimonial
How did you learn about the program and what motivated you to enroll?

I was in Canada and the program seemed a perfect fit to my interests.

Tell us about your course experience. What skills did you develop and which courses provided the greatest benefit to you?

I thoroughly enjoyed the courses, although sometimes I had trouble keeping up.  Having said that, I found the lecturers very sympathetic to my needs.  It was great to develop more understanding of the analysis of administrative datasets and in particular learning how to use geocoded data.

How have you been able to (or how do you plan to) apply your new skills in your work/research?

I will use my skills to undertake some more specific analysis using linked data. In particular, I plan to undertake some mapping of hotspots where illicit drug use is most common. For my interests at this time I found longitudinal data analysis and geocoding 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.

What do you think were the strengths of this program? Please provide examples.

The flexibility of the modules was very good and I appreciated learning from other students when there was something I couldn’t solve. For example when I couldn’t run a particular program, I could easily get assistance with this.  Having access to previous assignments on the same topics made things much easier as well.

Would you recommend this program to others? If so, what recommendations/suggestions would you give those interested in applying to this program?

Yes, I would recommend this program and regularly circulate information about the courses as updates come to me.

Any additional comments you would like to add?

It was a really great experience and I learnt a great many new things so thank you!

 

Lucinda Burns

Lucinda Burns, Associate Professor, Faculty of Medicine, University of New South Wales

 

PHDA 03 Population Health and Geographical Information Systems
"The Population Health and GIS (PHDA 03) course was the most interesting course I took. The labs were easy to follow and I enjoyed the final project."

Jackson Flagg, Evaluation Lead

 

PHDA Overall program/course experience
"Great instructors with content expertise who are also very accessible for extra support, good class size with diverse classmates, and flexibility that online learning offers."

Chisato Ito, Clinical Consultant

 

PHDA 04 Spatial Epidemiology and Outbreak Detection
"I was browsing for some relevant programs that would complement my current job as an epidemiologist. The PHDA courses looked good, particularly the GIS ones which I wanted to learn as it hadn’t been part of my education up to that point. The coursework was comprehensive but not too time consuming. The GIS courses were fantastic and provided great information. I liked the method of instruction – videos that walked you through the steps of an assignment accompanied by PDF’s, which I thought helped me learn efficiently."

Dorian Lunny, Epidemiologist, Northwestern Health Unit

> read full testimonial