The CGA can help you learn GIS in many ways, including courses for credit, workshops for non-credit, live and self-learning.
Credit Courses @ Harvard
Learn about the many GIS Related and Spatial Analysis Courses offered each semester in areas such as public health, archaeology, social and environmental policy, operational GIS, and more. See Credit Courses being offered.
Non-Credit Training @ CGA
- GIS Institute (two-week training institute held every semester. Research proposal required)
- Cartography Workshop (One day workshop held every SPRING semester)
- GIS for the Humanities and Social Sciences (One day workshop held every FALL semester)
- Basic Introduction to GIS (Two-hour workshop held every semester)
Guest Lectures and Customized Curriculum: The CGA provides guest lectures for specific research groups on a routine basis. The CGA also creates and teaches customized geospatial curriculum for credit courses and workshops on state-of-art GIS technologies including but not limited to:
- Geospatial analysis and visualization
- Geospatial Databases (PostGIS, Heavy.ai)
- Programming for Geospatial (R/Python)
- Cloud/Cluster based GIS tools (Geospatial on AWS, FASRC, NERC)
- Handling Geospatial Big Data using Data Science methods
See a list of these activities on our Guest Lectures page.
Self-Led and Video Tutorials
Many self-led tutorials on ArcGIS, ArcGIS Onine, QGIS, R and more are on the CGA FAQ page.
GIS @ Harvard Libraries provides tutorials, resources, help-desk style assistance, and more.
Previous CGA Workshops are presented in a self-guided Video Tutorial Series.
Browse the list of GIS Tutorials and Books available on campus, learn from topics addressed at CGA Seminar Series and on the CGA's Technical Blog. See also our Publications page and the CGA's Annual Conference pages for additional learning materials.
Esri provides a wealth of learning materials such as
- the Virtual Campus Courses,
- the ArcGIS Desktop and ArcGIS Pro Tutorials,
- the User Conference proceedings and technical workshops,
- the Spatial Data Science MOOC and Spatial Statistics Resources
- Esri's vast Library of Manuals for their products