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Geographic Information Systems

General Information





Staffed Hours: Fall 2017

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Upcoming Data Services Classes

Regularly Offered Tutorials & Class Materials

NYU Data Services provides a number of introductory tutorials and training resources for learning GIS, conducting spatial analysis, geocoding, and finding spatial data through the Spatial Data Repository. Refer to the calendar on the left for upcoming classes. To request a specialized or customized tutorial, please fill out the request form. In addition, Data Services also Provides a full range of online GIS training offered by ESRI for students, faculty and staff interested in exploring GIS technology, concepts, and applications.

Introduction to ArcGIS: Tutorial Slides | Tutorial Documentation | Tutorial Feedback

Introduction to QGIS: Tutorial Slides | Tutorial Handout | Tutorial Feedback

Introduction to Carto: Tutorial Slides | Tutorial Feedback

Introduction to ArcGIS Online: ArcGIS Online Documentation | NYC Borough Boundaries | NYC Precinct Data | ESRI Story Maps Documentation | Tutorial Feedback

ESRI Virtual Campus Courses

ESRI Training Resources Virtual Campus Web Courses are a collection of intensive interactive training courses covering everything from the basics of making maps to advanced spatial analysis. These courses include conceptual material and presentations, hands-on software exercises, and exams. Access to the appropriate ArcGIS software is required to complete course exercises. NYU students, faculty and staff can get access to any ESRI's Virtual Campus course at free of cost.

In addition, ESRI offers Virtual Campus Training Seminars, which are free one-hour recorded presentations that include software demonstrations and question and answer sessions with ESRI's subject matter experts. Also explore Instructional Series Podcasts, free, short audio recordings on a specific topic delivered by an ESRI's subject matter experts. Listen online or download to an MP3 player. 

In order to take an ESRI training course, explore the list of courses below, and please email Data Services ( and ask to be added to NYU's organizational account. Once you are given access, you will be able to select any course you like and take it for free.

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Original work in this LibGuide is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.