Geospatial APIs For Data Science Applications In Python faq

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4.2
learnersLearners: 431
instructor Instructor: Minerva Singh instructor-icon
duration Duration: duration-icon

The "Geospatial APIs for Data Science Applications in Python" course offers hands-on training in obtaining and working with free geospatial data via Application Programming Interfaces (APIs) using data science techniques. The course focuses on practical remote sensing and GIS data analysis with Google Earth Engine, a planetary-scale platform for Earth science data and analysis. It enables learners to implement machine learning models on imagery data, access a multi-petabyte catalogue of satellite imagery and geospatial datasets, and derive valuable insights from real-life geospatial data obtained through APIs. The course is led by an experienced instructor with a background in Geography and Environment and provides continuous support to ensure learners get the most value from the course.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

2022-10-08

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 25th, 2023]

This course provides a comprehensive introduction to obtaining and working with free geospatial data obtained via Application Programming Interfaces (APIs) using data science techniques. It is designed for those who are currently enrolled in any of the instructor's GIS and remote sensing related courses, or those who have prior experience in GIS or tools like R and QGIS. The 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 and analysis, including implementing machine learning models on imagery data, powered by Google's cloud infrastructure.

The instructor has an MPhil (Geography and Environment) from the University of Oxford, UK and a PhD from Cambridge University (Tropical Ecology and Conservation). He has several years of experience in analyzing real-life spatial geospatial data from different sources and producing publications for international peer-reviewed journals.

In this course, actual geospatial data obtained via Foursquare and GEE APIs will be used to give students hands-on experience of applying data science and machine learning techniques to these data to answer real-life questions such as identifying the best locations for a restaurant or changes in socio-economic dynamics of a territory. The course will ensure students learn and put geospatial data analysis into practice today and increase their proficiency in using APIs for obtaining these data and deriving valuable insights from them.

The instructor will provide continuous support to make sure students get the most value out of their investment. Enroll now to take an important step forward in your GIS journey to become an expert in geospatial analysis.

Course Syllabus

Welcome to the Course

Introduction to Geospatial APIs (and Other Sources of GIS Data)

Other Source of Geospatial Data

Introduction To Google Earth Engine (GE)

Obtaining GEE Data Via API To Use With Python

Working With GEE's Imagery Data

Getting a Sense of Our Data

Machine Learning

Object Based Image Analysis

Course Provider

Provider Udemy's Stats at AZClass

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faq FAQ for Geospatial Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 431 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Udemy's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Udemy may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Geospatial courses and certifications, our extensive collection at azclass.net will help you.

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