Introduction to Maps in Folium and Python

Building web map applications like a pro

Welcome to the Introduction to Maps in Folium and Python Course. In this course we will be

What you’ll learn

  • Web Mapping with Folium.
  • Web Mapping.
  • Python Programming.
  • Web GIS Programming.
  • Web Map Tile Services (WMTS).
  • Data manipulation and preprocessing.

Course Content

  • Introduction –> 1 lecture • 8min.
  • Creating your first folium map –> 1 lecture • 9min.
  • Markers –> 2 lectures • 34min.
  • Creating a Point Map –> 2 lectures • 23min.
  • Creating a Choropleth Map –> 2 lectures • 21min.
  • Measuring Boundries –> 2 lectures • 19min.
  • Creating Layers and BaseMaps –> 1 lecture • 10min.
  • Creating a Heatmap –> 1 lecture • 12min.
  • Sharing and Exporting our Maps –> 1 lecture • 23min.
  • Project Source Code –> 1 lecture • 1min.

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Welcome to the Introduction to Maps in Folium and Python Course. In this course we will be

exploring the different capabilities of the folium library. Folium is a python mapping library that

allows you to create maps rapidly with very little and easy to understand code. We will use this

library to create a variety of maps for multiple use cases. We will be exploring the most useful

objects that the folium library has to offer ranging from Markers, Points, Measure Controls, Tiles,

Web Map Tile Services, Layers and much more.


We will also do a bit of preprocessing with the pandas library, in order to prepare our data for

meeting the requirements of the maps that we will be building. By using the full capabilities of the

tools we will be using, one can build very advanced map applications with very few lines of code.


This course is useful to all levels of experience from beginner to advanced professionals and is very

easy to get started with. There are no complex installations and configurations required, as we will

use a single platform that includes everything we need such as jupyter notebook.


It is only required that you have python 3 installed and anaconda, as well as an internet connection,

in order to download our datasets and libraries. Any operating system is applicable as long as you

are able to run jupyter notebooks and use the python 3 compiler. This course is done on a windows

10 machine. After you build your maps you will learn how to share them with anyone.

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