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Visualizing Geospatial Data in Python

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

One of the most important tasks is to understand the relationships between data scientists' data and their geographical context. This course will show you how to create beautiful visualizations using geospatial data with the GeoPandas package. This course will show you how to spatially link datasets and data to context. You will learn how to overlay geospatial data on maps to add spatial cues. You will use several datasets from Nashville's open-data portal to find the location of chickens in Nashville.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Data Manipulation with pandas

Introduction to Data Visualization with Matplotlib

What You Will Learn

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps

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!

Course Instructors

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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 ...
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