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Visualizing Geospatial Data in Python

Intermediate
Updated 12/2024
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
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PythonData Visualization4 hours14 videos51 exercises4,250 XP19,904Statement of Accomplishment

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Course Description

One of the most important tasks of a data scientist is to understand the relationships between their data's physical location and their geographical context. In this course you'll be learning to make attractive visualizations of geospatial data with the GeoPandas package. You will learn to spatially join datasets, linking data to context. Finally you will learn to overlay geospatial data to maps to add even more spatial cues to your work. You will use several datasets from the City of Nashville's open data portal to find out where the chickens are in Nashville, which neighborhood has the most public art, and more!

Prerequisites

Introduction to Data Visualization with MatplotlibData Manipulation with pandas
1

Building 2-Layer Maps : Combining Polygons and Scatterplots

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2

Creating and Joining GeoDataFrames

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3

GeoSeries and Folium

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4

Creating a Choropleth Building Permit Density in Nashville

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Visualizing Geospatial Data in Python
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