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Spatial Data Analysis in Google Earth Engine Python API

Learn machine learning, big data analysis, GIS, remote sensing with Earth Engine Python API and Jupyter Notebook
4.3
☆☆☆☆☆ 4.3/5
(64 reviews)
385 students
Created by
Alemayehu Midekisa

9.3

Classbaze Grade®

9.5

Freshness

8.6

Popularity

9.2

Material

Detailed Analysis »

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Platform: Udemy
Price: check current price
Video: 2h 15m
Language: English
Next start: On Demand

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Classbaze Rating

Classbaze Grade®

9.3 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

9.5 / 10
This course was last updated on 11/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.6 / 10
We analyzed factors such as the rating (4.3/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.2 / 10
Video Score: 7.9 / 10
The course includes 2h 15m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 7 hours 31 minutes of 1,582 Python courses on Udemy.
Detail Score: 9.7 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

2 articles.
19 resources.
0 exercise.
0 test.

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About this course

  The course will teach you this
  What you need to START the course
  Who can start this course?
General questions
  Coupons & Discounts
  Guarantees & money back
  Financial aid
Teacher
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About the course

Do you want to access satellite sensors using Earth Engine Python API and Jupyter Notebook?
Do you want to learn the spatial data science on the cloud?
Do you want to become a spatial data scientist?

Enroll in my new course to Spatial Data Analysis in Google Earth Engine Python API.

I will provide you with hands-on training with example data, sample scripts, and real-world applications. By taking this course, you be able to install Anaconda and Jupyter Notebook. Then, you will have access to satellite data using the Earth Engine Python API.

What makes me qualified to teach you?
I am Dr. Alemayehu Midekisa, PhD. I am a geospatial data scientist, instructor and author. I have over 15 plus years of experience in processing and analyzing real big Earth observation data from various sources including Landsat, MODIS, Sentinel-2, SRTM and other remote sensing products. I am also the recipient of one the prestigious NASA Earth and Space Science Fellowship. I teach over 10,000 students on Udemy.

In this Spatial Data Analysis with Earth Engine Python API course, I will help you get up and running on the Earth Engine Python API and Jupyter Notebook. By the end of this course, you will have access to all example script and data such that you will be able to accessing, downloading, visualizing big data, and extracting information.

In this course we will cover the following topics:
•Introduction to Earth Engine Python API
•Install the Anaconda and Jupyter Notebook
•Set Up a Python Environment
•Raster Data Visualization
•Vector Data Visualization
•Load Landsat Satellite Data
•Cloud Masking Algorithm
•Calculate NDVI
•Export images and videos
•Process image collections
•Machine Learning Algorithms
•Advanced digital image processing

One of the common problems with learning image processing is the high cost of software. In this course, I entirely use open source software including the Google Earth Engine Python API and Jupyter Notebook. All sample data and script will be provided to you as an added bonus throughout the course.

Jump in right now and enroll.

Best,
Dr. Alemayehu Midekisa, PhD

What can you learn from this course?

✓ Students will access and sign up the Google Earth Engine Python API platform
✓ Access satellite data in Earth Engine
✓ Export geospatial Data including rasters and vectors
✓ Access images and image collections from the Earth Engine cloud data library
✓ Perform cloud masking of various satellite images
✓ Visualize and analyze various satellite data including, MODIS, Sentinel and Landsat
✓ Visualize time series images
✓ Run machine learning algorithms using big Earth Observation data

What you need to start the course?

• This course has no requirements.

Who is this course is made for?

• This course is meant for professionals who want to harness the power Google Earth Engine Python API and Jupyter Notebook
• People who want to understand various satellite image processing techniques using Python and Jupyter Notebook
• Anyone who wants to learn accessing and extracting information from Earth Observation data
• Anyone who wants to apply for a spatial data scientist job position

Are there coupons or discounts for Spatial Data Analysis in Google Earth Engine Python API ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $20.1 of 1,582 Python courses. So this course is 25% cheaper than the average Python course on Udemy.

Will I be refunded if I'm not satisfied with the Spatial Data Analysis in Google Earth Engine Python API course?

YES, Spatial Data Analysis in Google Earth Engine Python API has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Spatial Data Analysis in Google Earth Engine Python API course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who will teach this course? Can I trust Alemayehu Midekisa?

Alemayehu Midekisa has created 21 courses that got 2,115 reviews which are generally positive. Alemayehu Midekisa has taught 18,725 students and received a 4.1 average review out of 2,115 reviews. Depending on the information available, we think that Alemayehu Midekisa is an instructor that you can trust.

Learn everything about

Alemayehu Midekisa

Lead Instructor & Geospatial Data Scientist
Dr. Alemayehu Midekisa, PhD is an applied remote sensing scientist with 15 plus years of expertise in big Earth observation data and various methods such as machine learning, time series analysis, deep learning, and cloud computing. He is proficient in different scripting languages including Python, JavaScript, R, and Google Earth Engine. He is a former NASA Earth and Space Science fellow. With global experience in USA, Europe and Africa, his research focus is in the application of multi-sensor remote sensing data utilizing Landsat, VIIRS, Sentinel 2, MODIS, GPM, and SMAP to answer complex environmental problems in land use, water resource, agriculture, and public health.
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Alemayehu Midekisa's full profile and courses »
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9.3

Classbaze Grade®

9.5

Freshness

8.6

Popularity

9.2

Material

Detailed Analysis »

Learn machine learning
Go to course »
Platform: Udemy
Price: check current price
Video: 2h 15m
Language: English
Next start: On Demand

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