What you'll learn:
- Learn how to work with online Jupyter notebooks through
- Gain robust grounding in working with geospatial APIs using Python
- Apply data science methods on geospatial data
- Deploy the Google Earth Engine (GEE) API within the Python ecosystem
- Use GEE's datasets for visualisation and geospatial analysis
ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT OBTAININGANDWORKINGWITH WITHFREEGEOSPATIAL DATA OBTAINED VIA APPLICATIONPROGRAMMING INTERFACES (APIs) USINGDATASCIENCETECHNIQUES.
Are you currently enrolled in any of my GIS and remote sensing relatedcourses?
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 proficiencyin 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 GISDATA ANALYSISWITH 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 outPRACTICAL, real-life remote sensing and GISanalysis tasks in this powerful cloud-supported platform. By taking this course, you are taking an important step forward in your GIS journey to become anexpert 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 inanalyzing real-life spatial geospatial data from different sourcesand producingpublications 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 haveMY CONTINUOUS SUPPORTto make sure you get the most value out of your investment!
ENROLL NOW :)
