Working with Geospatial Data in Python, Short Course | Part time online | Data Camp | United States
Studyportals
Short Online

Working with Geospatial Data in Python

1 days
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

This Working with Geospatial Data in Python course at Data Camp 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.

Overview

Context of the Working with Geospatial Data in Python course at Data Camp

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.

 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.

Programme Structure

Chapters

  • Spatial relationships
  • Projecting and transforming geometries
  • Putting it all together - Artisanal mining sites case study

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

PREREQUISITES

  • Data Manipulation with pandas

Tuition Fee

To alway see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • Basic Access: Free
  • Enterprise: Contact sales for pricing
  • Premium (for individuals): $5.75/month billed annually
  • Teams (for teams of 2 and up): $5.75 per user /month billed annually

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Working with Geospatial Data in Python
-
Data Camp
Working with Geospatial Data in Python
-
Data Camp

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