Geospatial APIs For Data Science Applications In Python

ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT OBTAINING AND WORKING WITH WITH FREE GEOSPATIAL DATA OBTAINED VIA APPLICATION PROGRAMMING INTERFACES (APIs) USING DATA SCIENCE TECHNIQUES.

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?

You want to have access  to a multi–petabyte catalogue of satellite imagery and geospatial datasets with planetary–scale analysis capabilities

The next step for you is to gain proficiency in obtaining free geospatial datasets from a variety of sources, from Foursquare to Google Earth Engine via their Python–friendly APIs and analyse these using data science techniques

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.