Geospatial APIs For Data Science Applications In Python

About 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._

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 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 you 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. This course will ensure you learn & put geospatial data analysis into practice today and increase your proficiency in using APIs for obtaining these data and deriving valuable insights from them. This is a fairly comprehensive course, i.e. we will focus on learning the most essential and widely encountered data science techniques applied to geospatial data In addition to all the above, you’ll have

MY CONTINUOUS SUPPORT

to make sure you get the most value out of your investment! ENROLL NOW :)