What you would learn in Geospatial APIs For Data Science Applications In Python course?
Enroll in my newest Course on learning all about working using free GEOSPATIAL DATA obtained VIA Application Programming Interfaces (APIs) using DATA Science TECHNIQUES.
Are you currently taking one of my GIS or remote sensing-related classes?
Perhaps you've had prior experiences with GIS or using tools such as R or QGIS?
You need to rapidly analyze massive amounts of geospatial information
Create machine learning models based on remote sensor data
Do you want to pay thousands and hundreds of dollars for commercial software to analyze images?
You'd like to have access to a massive catalog of satellite images and geospatial databases that can be analyzed at a global scale.
Another step for you to take is to become proficient in the process of collecting free geospatial data from a range of sources, ranging from Foursquare and Google Earth Engine via their Python-friendly APIs, and then analyzing them with data science methods.
My class is hands-on training with real-time sensors and GIS DATA Analysis using Google Earth ENGINEAn all-encompassing platform to collect Earth science data and analysis, including implementing models of machine learning on imagery data powered by Google's cloud infrastructure. !
The Course gives you the knowledge for carrying out actual, real-time Remote sensing and GIS analytics on this cloud-based platform that is extremely powerful. In taking this course, you're taking a significant step in GIS development to be an expert in geospatial analysis.
Why should you take my Course?
I hold a Master's degree (Geography and the Environment) from Oxford, UK. I also completed my Ph.D. at Cambridge University (Tropical Ecology and Conservation).
I have many years of experience analyzing real-time spatial geospatial information from various sources and creating publications for peer-reviewed international journals.
In this class, basic geospatial information obtained through Foursquare and GEE APIs is utilized to provide you with hands-on experience using machine learning and data science techniques to solve real-world problems like determining the most suitable spots for restaurants or changes in the socio-economic dynamics of a region.
This course will help you understand and put geospatial analysis into practice now and will help you increase your ability to use APIs to collect these kinds of data and draw helpful insight from them.
This is a pretty thorough course that is pretty comprehensive, i.e., we will concentrate on learning the most important and widely used data science techniques that are applied to geospatial information
Learn to use online Jupyter notebooks by using
Develop a solid foundation for the use of geospatial APIs by using Python
Utilize data science methods to analyze geospatial data
Implement Google Earth Engine API. Google Earth Engine (GEE) API within the Python ecosystem
Utilize GEE's datasets for visualization and geospatial analysis
Download Geospatial APIs For Data Science Applications In Python from below links NOW!
Write your comment!
Access Permission Error
You do not have access to this product!
Dear User! To download this file(s) you need to purchase this product or subscribe to one of our VIP plans.