Working with Geospatial Data in Python Data Camp

Overview

Context

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.

In this Working with Geospatial Data in Python course offered by Data Camp 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.