Introduction to Geospatial Data Analysis in Python

Learn Python for geospatial and GIS data analysis using various open source big data

3.50 (117 reviews)

Udemy

platform

English

language

Math

What you will learn

Download Python and the Jupyter Notebook using Anaconda

Create Interactive Maps with Leaflet

Import data in to Python for spatial analysis and visualization

Organize data inside a pandas data frame

Query data from Python pandas data frame

Apply various spatial data visualization including time series plots, heatmaps, and base maps

Why take this course?

This Python for Beginner course will get you up and running using Python for data analysis and visualization. You will learn how to download and access a Jupyter Notebook environment. You will have sample Python scripts and example data so that you will get a chance to practice manipulating GIS data. Additionally, you will get HD videos to guide you throughout the course.

The course assumes you have no prior knowledge of Python, so you also get to learn the basics of Python in the first two sections of the course. However, if you already know Python, the first two sections can serve as a refresher before you jump into the data analysis and visualization part. In the course, you will learn how to install conda and various libraries that are necessary for geospatial data analysis such as Basemap, Geopandas, Pandas, Matplotlib, and Seaborn. We will also use the popular open-source tool, the Jupyter Notebook.

You will learn how to integrate different spatial libraries within your Python code. We will walk you step by step to apply various Python packages to manipulate GIS data and visualize geospatial data to get better insights. I will provide you with all the data that I demonstrate in the course. By the end of this course, you will be able to download Jupyter Notebook, install conda, and perform various spatial analyses including manipulating, aggregating, and visualizing GIS datasets using Python.

Screenshots

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Reviews

Christopher

January 13, 2022

I think the instructor probably knows the material well but the description says it is suitable for all levels and beginners. I have no experience with Python and Im good with computers but this course lost me very quickly in the third video. I will find a beginners python course online and return to this another day.

Sean

October 14, 2021

If this is a beginning class, needs a little more explanation of steps, so that no time is lost troubleshooting. Examples: working directory setup, put sample files here, run there, and now you have the place where the video started

Luis

August 3, 2021

I have learnt nothing from this course. This is not a course...this is nothing more than a collection of videos in which a demonstration is done. Nothing more.

Aasadeep

May 10, 2021

Thank you so much for starting my journey into spatial data science. It's helping for my project in a company.

Sabbaha

May 3, 2021

Thank you so much. Previously, i haven't used programming language for analysis spatial data and this course quite helpful for me to understanding the technique

Gabriel

September 24, 2020

Great class to get started using python for geospatial data analytics. Unfortunately, some of the packages have been updated since this course was published, so installing them will be quite difficult.

Ivan

April 16, 2020

saya yakin suatu hari pengetahuan tentang analisis geospasial akan menjadi tren metode riset bagi geosaintis seperti saya. Terima kasih Udemy

Andres

March 6, 2020

The content is good and useful. The quality of the notebooks is quite high. I'm only missing some hand-on project to inspire apply what I've learned.

Ahmed

October 19, 2019

the course is very basic and explanation is not getting in details of explaining how to use the mapping features and lib related to maps, not sure what is the objective of the course and what is the course intended to teach, I would easily find similar. information on youtube or by the general search. thanks for the introduction

Pragya

October 2, 2019

There were various multiline codes that contained various functions and were not explained. As this was an introductory course all the functions and their usage should have been explained in detail.

Shaun

August 19, 2019

An overview of possibilities using python for geospatial data. The instructions for installing packages could have been clearer, but it was a good exposure of using Jupyter notebook to view scripts and lots of sample scripts with explanations of what they do, which I found very useful.

Mohammed

July 24, 2019

Not for people who don't know Python. Good only if your Use case is exactly the same as in the lecture which will not be the case for most of the Students.

Matthew

January 9, 2019

This is exactly what the course suggests it is-- introduction to geospatial analysis. And it definitely delivers. What I appreciate most is the guidance in the installation of packages (namely geopandas, which does not always install correctly), and the variety of file types used.

Mohamed

December 8, 2018

I think it is quite a good headstart course especially for beginner students in geospatial analysis. I like it.

Keith

November 30, 2018

I was expecting a more comprehensive course, but it turns out that this course is more introductory. It was successful however with helping me appreciate the use of python with geospatial data.

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