"I would definitely recommend this program to my colleagues or others who would like to develop analytical skills and knowledge in data analysis and the use of health data.

"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 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.

"The Secure Research Training Lab (SRTL) was the best. It was a bit complicated to start with for the first time, but I quickly got used to logging on and working in the environment. It’s well worth the effort to be able to do hands-on work with data, with peer and instructor support, and very good technical support (the few times I needed it).

"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 workload was also quite manageable for those who are working full-time in addition to the courses.

"I would highly recommend this program to anyone wishing to gain a strong foundation in GIS and data, even those individuals not directly involved in the population health field. All of the courses force the student to think critically, develop time management skills, become effective data organizers, and learn to work in a virtual team towards a common goal within very tight parameters.

"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 data sets, 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.

"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 would recommend the program to working professionals, researchers, and graduate students.

"I would recommend this program to anyone working in the public health field that is handling or interpreting data and looking to update or acquire new skills. The courses were of high quality, good value and appropriate for anyone at the introductory or intermediate level.