Geospatial APIs For Data Science Applications In Python

About this course

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 dataImplement machine learning models on remote sensing dataYou 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 techniquesMY 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 i