"PHDA 03 and 04 provided useful tools for me. I had always wanted to learn to use ArcGIS software to explore health data, and have both a geography and clinical background, so PHDA 03 and PHDA 04 were especially interesting."
"PHDA 03 and 04 provided useful tools for me. I had always wanted to learn to use ArcGIS software to explore health data, and have both a geography and clinical background, so PHDA 03 and PHDA 04 were especially interesting."
I learned about the PHDA program through browsing on web and was motivated to get more training in population health data analysis while working full-time.
Although the course load was a bit heavy at times, I think I’ve learned a lot and developed hands-on experience in analyzing population health data using SAS and ArcGIS.
I have not yet had a chance to utilize all the knowledge and skills I’ve gained in my current work, but definitely have a better understanding of results that are analyzed using ArcGIS.
The strengths of this program include: good organization of coursework, exposure to variety of relevant topics, hands-on experience using several analytical software, excellent support and feedback by instructors, and a flexible schedule.
I would definitely recommend colleagues and others to take this program for further professional development.
My program experience has been great and thank you for all the support I received from instructors and staff members in the PHDA program.
"This course is a rich and nuanced exploration of the interplay of spatial associations between population health and exposure to multiple risk factors including pathogen/toxin load, socio-economic influences and ‘built environment’ indices. Well-paced and supported ‘labs’ move from mapping skills and associated ethics to the use of spatial statistics in assessing distribution in population health. Required readings are current and wide-ranging. The final project provides a wonderful opportunity to use acquired tools to explore in depth a personal research project of interest.
I highly recommend this course to all in population health – from analysts and city planners to physicians and veterinarians. The power of GIS to put “place” into the population health equation is a powerful tool. This course illuminates this exceptionally."
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 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. I found all staff related to the various components of the program very knowledgeable and considerate."
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