Visualizing Geospatial Data in Python

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
Start Course for Free
Clock4 HoursPlay14 VideosCode51 ExercisesGroup8,167 Learners
Database4250 XP

Create Your Free Account

Google LinkedInFacebook
or
By continuing you accept the Terms of Use and Privacy Policy. You also accept that you are aware that your data will be stored outside of the EU and that you are above the age of 16.

Loved by learners at thousands of companies


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!

  1. 1

    Building 2-layer maps : combining polygons and scatterplots

    Free
    In this chapter, you will learn how to create a two-layer map by first plotting regions from a shapefile and then plotting location points as a scatterplot.
    Play Chapter Now
  2. 2

    Creating and joining GeoDataFrames

    You'll work with GeoJSON to create polygonal plots, learn about projections and coordinate reference systems, and get practice spatially joining data in this chapter.
    Play Chapter Now
  3. 3

    GeoSeries and folium

    First you will learn to get information about the geometries in your data with three different GeoSeries attributes and methods. Then you will learn to create a street map layer using folium.
    Play Chapter Now
  4. 4

    Creating a choropleth building permit density in Nashville

    In this chapter, you will learn about a special map called a choropleth. Then you will learn and practice building choropleths using two different packages: geopandas and folium.
    Play Chapter Now
In the following tracks
Data Visualization
Collaborators
Greg WilsonAdrián Soto
Mary van Valkenburg Headshot

Mary van Valkenburg

Data Science Program Manager at Nashville Software School
Mary van Valkenburg is a lead instructor and program manager for the Analytics and Data Science Program at Nashville Software School, a non-profit that helps adults develop skills and launch careers in software development and data science. She holds a Masters in Data Science from Lipscomb University. Mary enjoys the thrill of discovery that comes with exploring and analyzing data, and as an instructor seeks to facilitate that sense of discovery by others.
See More

What do other learners have to say?

I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.

Devon Edwards Joseph
Lloyds Banking Group

DataCamp is the top resource I recommend for learning data science.

Louis Maiden
Harvard Business School

DataCamp is by far my favorite website to learn from.

Ronald Bowers
Decision Science Analytics, USAA

Join over 6 million learners and start Visualizing Geospatial Data in Python today!

Create Your Free Account

Google LinkedInFacebook
or
By continuing you accept the Terms of Use and Privacy Policy. You also accept that you are aware that your data will be stored outside of the EU and that you are above the age of 16.