Advanced Google Earth Engine(GEE) For Spatial Data Analysis (Udemy.com)
Google Earth Engine For Geospatial Data Analysis and Machine Learning For Remote Sensing Data in the Cloud
Created by: Minerva Singh
Last updated October 2025
What you will learn
- Gain robust grounding in the basic and latest features of Google Earth Engine (GEE)
- Learn how to work with in-built shapefiles and imagery data present within GEE
- Learn to upload and analyse your own data in GEE
- Gain proficiency in JavaScript for operating the GEE ecosystem
- Carry out pre-processing and processing of satellite data in the GEE cloud
How it compares
Against the other 503 rated Udemy courses in Teaching & Academics on CourseDuck:
- Rating4.3 out of 5higher than 16% of them
- Reviews359#288 of 504 by number of reviews
- Length6.6 hourslonger than 73% of them
- Last updatedOctober 2025more recently than 76% of them
Course Description
ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT BASIC SATELLITE REMOTE SENSING AND GIS ANALYSIS USING THE GOOGLE EARTH ENGINE (GEE).
Are you currently enrolled in any of my GIS and remote sensing related courses?
Or perhaps you have prior experiences in GIS or tools like R and QGIS?
You want to quickly analyse large amounts of geospatial data
Implement machine learning models on remote sensing data
You don't want to spend 100s and 1000s of dollars on buying commercial software for imagery analysis?
The next step for you is to gain proficiency in satellite remote sensing data analysis and GIS using GEE, a cloud-based endeavour by Google that can help process several petra-byte of imagery data.
MY COURSE IS A HANDS-ON TRAINING WITH REAL REMOTE SENSING AND GIS DATA ANALYSIS WITH GOOGLE EARTH ENGINE- A planetary-scale platform for Earth science data & analysis; including implementing machine learning models on imagery data, powered by Google's cloud infrastructure. !
My course provides a foundation to carry out PRACTICAL, real-life remote sensing and GIS analysis tasks in this powerful cloud-supported platform. By taking this course, you are taking an important step forward in your GIS journey to become an expert in geospatial analysis.
Why Should You Take My Course?
I have an MPhil (Geography and Environment) from the University of Oxford, UK. I also completed a PhD at Cambridge University (Tropical Ecology and Conservation).
I have several years of experience in analyzing real-life spatial remote sensing data from different sources and producing publications for international peer-reviewed journals.
In this course, actual satellite remote sensing data such as Landsat from USGS and radar data from JAXA will be used to give a practical hands-on experience of working with remote sensing and understanding what kind of questions remote sensing can help us answer. You will be introduced to a variety of other datasets as well, including those relating to fires and socio-economic measures.
This course will ensure you learn & put remote sensing data analysis into practice today and increase your proficiency in geospatial analysis.
Remote sensing software tools are costly, and their cost can run into thousands of dollars. Instead of shelling out so much money or procuring pirated copies (which puts you at risk of prosecution), you will learn to carry out some of the most critical and common remote sensing analysis tasks using one of the most powerful earth observations data and analysis platform. GEE is rapidly demonstrating its importance in the geospatial sector and improving your skills in GEE will give you an edge over other job applicants..
This is a fairly comprehensive course, i.e. we will focus on learning the most essential and widely encountered remote sensing data processing and GIS analysis techniques in Google Earth Engine
You will also learn about the different sources of remote sensing data there are and how to obtain these FREE OF CHARGE and process them using within GEE.
In addition to all the above, you’ll have MY CONTINUOUS SUPPORT to make sure you get the most value out of your investment!
ENROLL NOW :)
Instructor Details
- 4.3 Rating
359 Reviews
Minerva Singh
I completed a PhD (University of Cambridge, UK) in 2017 where I focussed on implementing data science techniques for quantifying the impact of forest loss on tropical ecosystems. I hold an MPhil (School of Geography and Environment) and an MSc (Department of Engineering) from Oxford University. I have more than 10 year's experience in conducting academic research (published in high level peer-reviewed international scientific journals such as PLOS One) and advising both non-governmental and industry stakeholders in data science, deep learning and earth observation (EO) related topics.
I have a strong track record in implementing machine learning, data visualization, spatial data analysis, deep learning and natural language processing tasks using both R and Python. In addition to being educated at the best universities in the world, I have honed my statistical and data analysis skills through many MOOCs, including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R-based Machine Learning course offered by Stanford online) and the IBM Data Science Professional certificate Track. I specialise in a variety of topics ranging from deep learning (Tensorflow, Keras) to machine learning to spatial data analysis (including EO data processing), data visualizations, natural language processing, financial analysis among others. I have acted as a peer reviewer on highly
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Reviews
By Nathnol Jackson on 12/11/2025
This course took my GEE skills to the next level! I finally understand how to handle big geospatial datasets and run advanced analysis smoothly. The instructor explained everything clearly, and the practical examples helped me learn fast.
By Deep Mazumder on 10/23/2025
her teaching is not so good, mainly she is just copy the code from somewhere and read it aloud...disappointed !!
By Gorica Bratic on 8/13/2025
The course explains the covered topics clearly, and the OBIA section is indeed advanced and valuable. However, given the title “Advanced GEE for Spatial Data Analyses,” I expected more advanced material throughout. Most of the other sections are quite basic and may be too introductory for learners already experienced with GEE.
By Sayli Siddhartha Mosby on 7/4/2025
It was indeed a good match for me. Having said that I want to mention about the resources. Resources has not bee n provided for computing distance raster in the last section. Also, as of 2025 yr, some algorithms were updated for newer version, so users have to get hold on it with the use of some code assisting AI platforms. Another thing, OBIA could have been made better like, how to perform classification using it could have been a better choice. Also, some comparison or when should we uses pixel and object based image analysis for slightly lacking.Otherwise, I enjoyed doing this course. Thank you for explaining it in simple words.
By Anonymized User on 7/13/2022
The course is poorly organized, outdated and lacking of continuity. It is really confusing trying to understand the meaning of those random lectures that probably were left behind when this course was created from a larger (and more complete) one.
By Raveena Sarkar on 11/6/2021
This is an excellent course for spatial data analysis. A must read for those who want to further their studies in this field. the knowledge of the instructor is all-encompassing and her delivery is engaging and learning-friendly.
By Ravi Srivastava on 11/6/2021
The course contains valuable information about the utility of various tool for spatial data analysis. Its usefulness for practical application can be hardly overemphasised. The instructor has total command over the subject and her delivery is very impressive.
By Rishilal Yadav on 8/3/2021
The concept discussed in the course for analysing spatial data is simply amazing. It has umpteen opportunities for practical applications. The instructor has arranged the course in an ideal way. the lectures in the course are crisp and clear which testify deep knowledge of the instructor on the subject.
By Rajesh Kumar on 7/7/2021
The course contains advanced and latest modes for Geospatial data analysis and has immense practical usage and utility. The course is ideally suited for my work. The instructor's style of teaching through the lectures make it easy to grasp the content of the course.
By Anonymized User on 6/14/2021
It has been a great learning experience. Advanced GEE for spatial data analysis is a course which will have immense contribution for my work. Moreover, the instructor is very knowledgeable about the subject and has a knack to make the lectures easy to understand.
Quality Score
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Overall Score : 86 / 100












