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This eight-week asynchronous online course will introduce students to the essential concepts and analytic tools they need to integrate geospatial data science into their work in global cancer control. Students will learn about different geospatial data types, where to acquire geographic data, and how to analyze these data using open source software and coding platforms. In addition, students will learn from experts at the forefront of this new field, who are applying geospatial data science approaches in their research to understand how geographic features and accessibility influence cancer risk and survival.
Visit our YouTube channel for a sample course lecture.
Learning Goals
- Learn fundamental geographic data concepts
- Acquire skills in geospatial data processing and analysis
- Hear from experts applying these skills in their work
Course Structure
- Video lectures on core topics
- Guided practical exercises in R
- Interviews with experts in environmental health, global health and cancer epidemiology
Prerequisites and Materials
- Prior training in public health
- students must have access to a computer
- Expected commitment: 3-5 hours/week
Testimonials
“The geospatial data science course for cancer control and prevention provided the necessary scaffolding to launch my research in spatial-oriented epidemiology with great confidence. I greatly benefited from the balance of basic and advanced GIS applications, as well as hearing from practitioners using these same methods in their work. Thanks to this course, I am now well-equipped to incorporate spatial data into my research with confidence and expertise.”
Postdoctoral Fellow, National Institutes of Health
“I found the GIS course quite instrumental in solidifying the foundation on my geostatistical skills and would highly recommend the course to others.”