In this course, you will learn how to find GIS data for your own projects, and how to create a well-designed map that effectively communicates your message. The first section focuses on the basic building blocks of GIS data, so that you know what types of GIS files exist, and the implications of choosing one type over another. Next, we'll discuss metadata (which is information about a data set) so you know how to evaluate a data set before you decide to use it, as well as preparing data by merging and clipping files as needed. We'll then talk about how to take non-GIS data, such as a list of addresses, and convert it into "mappable" data using geocoding. Finally, you'll learn about how to take data that you have found and design a map using cartographic principles. In the course project, you will find your own data and create your own quantitative map.
This course is part of the GIS, Mapping, and Spatial Analysis Specialization
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About this Course
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Try Coursera for BusinessSkills you will gain
- Geographic Information System (GIS)
- Cartography
- Esri
- Mapping
- Spatial Analysis
Could your company benefit from training employees on in-demand skills?
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Syllabus - What you will learn from this course
GIS File Types, Data Models, and Topology
Finding data and preparing it for your project
Geocoding addresses and postal codes
Map Design Principles
Reviews
- 5 stars90.26%
- 4 stars8.25%
- 3 stars1.15%
- 2 stars0.33%
TOP REVIEWS FROM GIS DATA ACQUISITION AND MAP DESIGN
Touched on some of the most intermediate aspects of the famed ArcGIS software. But I would request a more interactive review of the done project. Thanks anyways.
I learned a lot about data acquisition, map design elements and principles. As a begginer in GIS it was great. Thanks Coursera for providing me with this opportunity!
Very much helpful course. I would like to thank my teacher Don Boyes because for the amazing lectures that help me a lot to understand map design.
Great Course.It helps me to start as a beginner in the field of GIS. All the lectures are precise and full of practical examples.
About the GIS, Mapping, and Spatial Analysis Specialization

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