Geospatial APIs For Data Science Applications In Python

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2022-10-08
Learners

No Information
Duration

No Information
Instructor

Minerva Singh

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4.2

431 Ratings

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 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

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