Through short lessons, practical examples, and hands-on decision-making activities, this course introduces the core ideas behind spatial thinking and Geographic Information Systems (GIS). You’ll learn how to recognize spatial patterns, understand how location adds meaning to data, and explain foundational spatial concepts clearly to non-GIS teammates. The course emphasizes why spatial thinking matters, not just what GIS tools do, helping you connect maps, data, and decisions in real-world contexts.
Discover Spatial Basics
Discover Spatial Basics
This course is part of Geospatial Foundations & Python Tooling Specialization
Instructor: ansrsource instructors
Included with
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
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Shareable certificate
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Recently updated!
March 2026
Taught in English
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This course is part of the Geospatial Foundations & Python Tooling Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
In this lesson, you are introduced to the foundational idea that maps require a reference system to represent the Earth accurately. They will explore what coordinate reference systems are and why components such as datums and projections are necessary. Using familiar map examples, learners will build an understanding of how projecting a three-dimensional Earth onto a flat surface introduces distortion, setting the stage for clear explanations of common issues such as area distortion in Web Mercator maps.
What's included
2 videos1 reading1 assignment
This lesson focuses on how geographic information is stored and represented digitally. Learners will examine the two primary spatial data structures, vector and raster, and understand how each models real-world features differently. Through practical comparisons, learners will develop the ability to distinguish between these data types and recognize how the choice of data structure affects mapping tasks such as visualizing population density.
What's included
1 video1 reading1 assignment
In this lesson, you explore how GIS is applied across a range of industries and problem domains. They will review real-world examples to see how spatial data supports decision-making in areas such as urban planning, environmental management, public health, and business. By the end of the lesson, learners will be able to identify common industry applications of GIS and recognize where spatial thinking adds value beyond traditional data analysis.
What's included
2 videos1 reading2 assignments
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