Geospatial Data Visualization using Python and Folium

Offered By
Coursera Project Network
In this Guided Project, you will:

Learn how to Preprocess and Prepare your Geospatial Data

Learn how to use Folium python module for Geospatial Data visualization

Learn to extract time related informations from timestamps

Clock2 hours
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this project, we are going to learn how to process and analyze geospatial data. we are going to work with a dataset containing information about almost 100 taxis running in Proto, Portugal. We are going to learn how to prepare our data and how to use different geospatial visualization techniques in order to answer some analytical questions. during this project, we will learn how to work with the Folium module in python which is one of the best tools when it comes to geospatial data visualization.

Skills you will develop

  • Python Programming
  • Pandas
  • Data Visualization (DataViz)
  • geospatial data analysis
  • folium

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 to the Project

  2. Data Preprocessing

  3. Most common regions to get a taxi part 1

  4. Most common regions to get a taxi part 2

  5. Common destinations on Mondays

  6. Common Destinations on Monday mornings (from 6 to 9 am)

  7. Analyzing rush hour in Porto

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

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