PHDA testimonials

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 was looking for a professional development opportunity to brush up my data analysis skills and further develop them. I found about the program online through my own search. Reviewing the course offerings, I quickly thought the program would be a great fit for me.

All four courses I have taken offered different benefits. Epidemiological statistics was a great review with additional learnings. I appreciated gaining practical experience with tools I wasn’t previously familiar with – e.g. SAS and ArcGIS. Through Program Monitoring and Evaluation, I have gained a new skillset and understanding of evaluation that I can apply to my professional work.

As noted above, I have been able to apply tools I’ve learned from program evaluation to my current work, for our program evaluation. Although I haven’t directly applied other data analysis skills to my work yet, I hope to do so soon.

Great instructors with content expertise who are also very accessible for extra support, good class size with diverse classmates, and flexibility that the online learning offers.

Yes. If anyone is interested in one of the courses offered, I would encourage them to look into the certificate program as I think they would likely find other courses also interesting and valuable in strengthening population health data analysis skills. I would also emphasize that although online learning offers flexibility they would need to be able to set aside a chunk of time each week to successfully complete the course and make the most of it.

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!

I learned about the PHDA program from the Director of the Social Dimensions of Health while I was taking the program at UVic. I was interested in the PHDA courses as a way to expand my skill set, enhance my knowledge of statistical software programs and gain practical skills to assist me with my PhD dissertation.

I enjoyed all the courses and the practical skills they provided especially with statistical software such as SAS, Mplus, and ArcGIS. I think I gained the most benefit from the PHDA 05 course and the PHDA 03 course. The PHDA 05 in Longitudinal Analysis and Multilevel modeling helped me gain skills in Mplus software and get an introduction to modeling. This work was very helpful in preparing me for a more advanced longitudinal modeling credit course I took at UVic last year. The PHDA 03 course in Population Health and GIS introduced me to a brand new subject area as well as practical skills in the use of ArcGIS.

I have been able to use the applied skills I learned in my role as a research assistant to help with grant applications. I will also be able to use these skills in the development of my dissertation. I plan to document the statistical software and analytic skills I have learned in all the PHDA courses on my CV. I know these skills will make me more marketable for future job opportunities.

The program has given me valuable skills and practice in a variety of statistical software. The PHDA program team including professors, IT and admin staff were all very helpful and a very supportive part of my program experience. I also enjoyed studying with fellow colleagues who had a broad range of work and research skills. The calibre of student in all my PHDA courses was very impressive and many were very willing to share their knowledge and analytic expertise. For this reason I really benefited from the partner and group work in many of the courses. Although the online format of the courses came with some weakness (as you don’t get to connect with people in person), I really appreciated how the asynchronous delivery provided flexibility to work and take courses at the same time. I also appreciated having transcripts of all the course video presentations for easy reference.

I have and do recommend this program to others. Some of my colleagues, whose work focuses more on qualitative rather than quantitative data, are a bit intimidated to consider the PHDA courses. For others who feel the same way I would certainly recommend Working with Administrative Data (PHDA 01) as a course that any research student would benefit from. I would also suggest that program applicants try to take PHDA 01 and PHDA 02 prior to PHDA 05. Although you can take courses in any order, I found the PHDA 05 course in Longitudinal Analysis and Multi-level modeling to be the most advanced level PHDA course I took.

I had completed my master’s in Public Health and was looking for training that would supplement my degree. In particular, I was interested in learning new skills in data analysis. A colleague had mentioned the PHDA program to me some time ago. Through a Google search, I found the program details and it looked like a good fit for me.

I enjoyed all the courses. In particular, I found the GIS course very interesting and fun as I had never worked in this subject area before. I also benefitted from learning new SAS skills in other PHDA courses. Prior to taking the program, I had no knowledge of SAS.  I think I enjoyed the PHDA 06 Health Services Program Monitoring and Evaluation course the most.  Although I had taken an evaluation course in my Master’s program, I found the PHDA 06 course very good at clarifying information and dividing the evaluation process into very practical/applied steps/stages.

I plan to apply my new skills within future job/research projects. I am very interested in pursuing employment opportunities in the area of program planning and evaluation. I have had an interest in this area for some time and the PHDA 06 course really solidified my desire to work in this area.

The instructors were all very knowledgeable and experienced.  They really supported students through engaging conversations and encouragement for our work assignments. Courses like the PHDA 03 Population Health and GIS provided step by step directions and support. The PHDA courses catered to both beginner students as well as those with experience in the field. Instructors were always willing to provide extra resources and support – the courses were never boring! The program support and general design also supported student needs too.

Yes, I would definitely recommend this program to others. I would like others to know that both the course content and expertise of instructors provides a great learning experience.

I had never done an online course before taking this program. I found the online environment provided a good learning experience. Both the Moodle and Secure Research Training lab environments worked well for me.