Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 39 Minute(s)
Language
English
Taught by
EBISYS R&D
Rating
1 views
Course Overview
Building web map applications like a pro
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.
Course Content
- 10 section(s)
- 15 lecture(s)
- Section 1 Introduction
- Section 2 Creating your first folium map
- Section 3 Markers
- Section 4 Creating a Point Map
- Section 5 Creating a Choropleth Map
- Section 6 Measuring Boundries
- Section 7 Creating Layers and BaseMaps
- Section 8 Creating a Heatmap
- Section 9 Sharing and Exporting our Maps
- Section 10 Project Source Code
What You’ll Learn
- Web Mapping with Folium
- Web Mapping
- Python Programming
- Web GIS Programming
- Web Map Tile Services (WMTS)
- Data manipulation and preprocessing
Reviews
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SSinan Cavus
Some details and keyboard hotkeys being used were left unexplained, but I should say that this is my first ever python experience so maybe that's the reason I don't know them at all. Maybe they were unexplained because they are the basics, in the course description it was stated that some python knowledge is required. Anyway, I am so happy to see the interactive map in such a short time. Thanks.
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SSina
I indeed enjoyed this course. Well done!
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VVladimir J. N. Bykov
This is a good course how to handle geospacial data in python, definitely recommended. Small minuses: voice of the teacher is very low, difficult to hear. Code even when executed by the teacher gives sometimes warnings of deprication. It is better not to ignore and fix it at least during record because it will be a momement in future when code will crash and not all students will be able easily handle it. Good to explain what it might happen, why and what students could do to manage such issues. That will make course more friendly and easier to follow. My overall impression is good and materials are useful for number of BI visualizations.
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MMatthew Hartman
I just finished the course and it was okay. I definitely learned something and have no real complaints. I can say that there is nothing in this course that you cannot get through the various free tutorials online. It does, however, have value, in that the info is contained in one place - a Udemy course for easy access and reference. If that's worth money to you, then by all means purchase this course and you cannot go wrong. If you don't have the money, there is nothing in this course that a free tutorial found via google doesn't cover. Personally, I would have saved the money, had I have known. One thing that I was worried about when purchasing the course is that some of the information would have been outdated. It's not outdated as of July, 2022. Only the choropleth method in section 5 has been deprecated, although you can use the Choropleth class with the same arguments as suggested in the warning thrown by Jupyter. I hope this review helps in your decision to purchase this course.
