The "Creating Seamless Mosaics from Air Photos" course offered by PCI Geomatics focuses on using Geomatica Desktop Image Processing Software to create highly accurate and perfectly color-balanced ortho mosaics. The course is designed for individuals responsible for producing ortho mosaics or anyone interested in creating mosaics for their projects or organizations. Participants will work with a licensed version of Geomatica and sample datasets provided by the instructor, and the course materials, consisting of videos, run for 35 minutes, with an expected completion time of 2-3 hours.

This course will teach you how to build big data pipelines with SparkR, PowerBI and MongoDB. You will learn how to manipulate, clean and transform data using Spark dataframes, and use machine learning with geospatial data using the SparkR and MLlib library. You will also learn how to create Geo Maps in PowerBI Desktop and create dashboards in PowerBI Desktop. With this course, you will be able to create a big data analytics solution using big data technologies for R, and build predictive analytics and visualizations. Don't miss out on this opportunity to learn the skills needed to build big data pipelines!

The "Geospatial APIs for Data Science Applications in Python" course offers hands-on training in obtaining and working with free geospatial data via Application Programming Interfaces (APIs) using data science techniques. The course focuses on practical remote sensing and GIS data analysis with Google Earth Engine, a planetary-scale platform for Earth science data and analysis. It enables learners to implement machine learning models on imagery data, access a multi-petabyte catalogue of satellite imagery and geospatial datasets, and derive valuable insights from real-life geospatial data obtained through APIs. The course is led by an experienced instructor with a background in Geography and Environment and provides continuous support to ensure learners get the most value from the course.

"Introduction to GIS for Public Health - an open-source approach" is a self-paced online course that provides a comprehensive introduction to Geographic Information Systems (GIS) in the context of public health. The course aims to equip health professionals with spatial techniques and GIS knowledge to enhance decision-making in their field. It covers both theoretical concepts and practical skills using open-source GIS tools like QGIS, enabling learners to apply their knowledge immediately to real-world scenarios. The course encourages social learning and offers tutorials and video lectures to facilitate a deeper understanding of GIS applications in public health.