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Overview
Context
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 Visualizing Geospatial Data in Python course at Data Camp, 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!
Programme Structure
Chapters
- Building 2-layer maps : combining polygons and scatterplots
- Creating and joining GeoDataFrames
- GeoSeries and folium
- Creating a choropleth building permit density in Nashville
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Geographical Information Systems (GIS) Data Analytics View 177 other Short Courses in Data Analytics in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES:
Introduction to Data Visualization with Matplotlib
Data Manipulation with pandas
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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