GIS I: Introduction to GIS
The ability to analyze and manipulate spatial data is critical across many industries, including urban planning, healthcare, agriculture, mining, trade, environmental science, and military intelligence. The demand for skilled GIS analysts is projected to grow rapidly in the coming years, as this specialized area of data analysis is leveraged in an expanding number of fields.
In this introductory course, you will learn the fundamentals of geographic information systems (GIS). Upon completion of the course, you will be able to display, analyze, and store spatial data using GIS, as well as use the different components of Esri ArcGIS Pro. This course also includes an overview of GIS applications in many different industries.
- Cartography and spatial data display
- Querying data for spatial and attribute selections
- Data formats for GIS
- Spatial data analysis tools
- Editing and storing spatial and attribute data
- Map projections and coordinate systems
- Online map creation
Multiple hands-on assignments using ArcGIS Pro, covering:
- Map design
- Spatial data analysis
- Digitizing and editing data
Course typically offered: Online in Fall and Spring
Software: Students will use ArcGIS Pro by ESRI in this course. The license for this software is included with purchase of the program textbooks. NOTE - a computer with a native Windows operating system is highly recommended.
If you are a Mac user, Esri provides information on installing ArcGIS software natively on a Windows partition using Boot Camp here.
Please visit this page for information on installing Esri software in a virtual environment.
Prerequisites: Strong familiarity with Microsoft Windows 7+ required.
Next steps: Upon completion of this course, consider taking GIS II: Spatial Analysis to continue learning.
Contact: For more information about this course, please contact firstname.lastname@example.org.
Course Number: CSE-40991
Credit: 3.00 unit(s)
Related Certificate Programs: Data Mining for Advanced Analytics, Geographic Information Systems, Python Programming
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9/20/2022 - 11/19/2022