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Analysing Covid-19 Geospatial data with Python
Coursera Project Network

Analysing Covid-19 Geospatial data with Python

Taught in English

Abdishakur Hassan

Instructor: Abdishakur Hassan

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
3.9

(14 reviews)

What you'll learn

  • Perform Spatial join with different datasets.

  • Create Different Maps and visualization with Geopandas.

  • Learn how to preprocess geospatial data with Python

Details to know

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
3.9

(14 reviews)

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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introduction

  2. Reading Data

  3. Geodataframe with Geopandas

  4. Base Maps

  5. Bubble Maps

  6. Spatial Join

  7. Choropleth Map

Recommended experience

Python basics

GIS background helps but not necessary.

4 project images

Instructor

Abdishakur Hassan
Coursera Project Network
3 Courses9,092 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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Learner reviews

Showing 3 of 14

3.9

14 reviews

  • 5 stars

    42.85%

  • 4 stars

    35.71%

  • 3 stars

    7.14%

  • 2 stars

    0%

  • 1 star

    14.28%

AE
4

Reviewed on Jul 20, 2022

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