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Working with Geospatial Data in Python

Datacamp, Online
Length
4 hours
Next course start
Start Anytime! See details
Delivery
Self-paced Online
Length
4 hours
Next course start
Start Anytime! See details
Delivery
Self-paced Online
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Course description
This course will show you how to integrate spatial data into your Python Data Science workflow.

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Start Anytime!

  • Self-paced Online
  • Online
  • English
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Training content
A good proportion of the data out there in the real world is inherently spatial. From the population recorded in the national census, to every shop in your neighborhood, the majority of datasets have a location aspect that you can exploit to make the most of what they have to offer. This course will show you how to integrate spatial data into your Python Data Science workflow. You will learn how to interact with, manipulate and augment real-world data using their geographic dimension. You will learn to read tabular spatial data in the most common formats (e.g. GeoJSON, shapefile, geopackage) and visualize them in maps. You will then combine different sources using their location as the bridge that puts them in relation to each other. And, by the end of the course, you will be able to understand what makes geographic data unique, allowing you to transform and repurpose them in different contexts.

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Datacamp
Data Science Central UK Limited, 25 Luke Street
EC2A 4EE London
+34000000000

Datacamp

DataCamp offers a comprehensive platform for learning data skills, specializing in training individuals and teams in data science, analytics, and AI. With a focus on interactive, hands-on learning, DataCamp provides courses across key programming languages such as Python, R, SQL,...

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