"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."
"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."
"Courses which benefited me the most are PHDA 03 Population Health and Geographic Information System (GIS) and PHDA 04 Spatial Epidemiology and Outbreak Detection.
I am really satisfied with these courses especially the hands-on experience gained while using ArcMap to map diseases and assess spatial dependences. Skills developed include generating choropleth map, joining attribute tables to shapefile and perform geographically weighted regressions."
"The labs and the access to the SRTL were the biggest strengths of these courses. The SRTL had all the software, and all the data, and was really easy to access, and was well maintained and organized. The labs were applied, and had very tangible learning outcomes associated with them. They were practical in purpose, and effective in implementation via the SRLT. The labs were very smooth and impactful."
"I would recommend this program to others, especially those I work with. The courses are great for professional development if individuals want to acquire new skills or keep their current skills up to date."
"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.
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."
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