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Courses
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Blended Learning
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- Python Advanced
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- R Spatial
- R GGPlot
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- Machine Learning with Geodata in Python
- City as a Living Lab
- Area-Based Planning and Development
- WebODM
- Google Earth Engine for Spatial Data
- Google Earth Engine for Agrohydrological Applications
- Python for Geospatial Development
- Introduction to Python with GDAL
- Hydrography Basics
- Coordinate Reference Systems and Spatial Data
- Mergin Maps Field Surveys
- Machine Learning with Geodata in R
- Deep Learning in QGIS
- SQL Basics
- QGIS Climate Adaptation
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- QField for Mobile Data Collection
- QGIS WaPOR
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- Land Surveying Basics
- PySpark, MongoDB and Bokeh
- Internet Mapping with Geoserver
- QGIS Cartography
- Introduction to Remote Sensing
- Classification with Orfeo Toolbox
- Spectral Thermal Imaging
- OpenCV in Python
- Multispectral Observation with Sentinel
- Earth Observation with Sentinel
- QGIS Landsat 8
- UAV Mapping Basics
- Maps in Shiny and Leaflet
- Google Earth Engine Earth Observation
- Urban Applications of GIS and Python
- Web Scraping Water Levels in Python
- Overview of LiDAR
- PostgreSQL
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- Introduction to GeoServer
- Network Spectral Unmixing
- Smart Maps with Python and Leaflet
- Satellite Data with SNAP
- Earth Observation Data Analysis with Open Source Tools
Trainers
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Podcasts
- Scan the Earth before it's too late.
- Open source technology with PostGIS
- Mapping Evil with Mike King
- GIS is a skill for the digital age
- GIS Education and Training, Online and in-person
- GIS Directions leadership series
- Geodesy: The Invisible Backbone of Navigation
- Explaining GIS to Others
- Elastic Search
- Don’t just make the dots, connect them
- Data Science and the Rise of Geospatial Thinking
- BIM Management Masterclass
- Being a professional Geographer
- ArcGIS on Kubernetes: Scalability at a service level
- A crash course in NASA’s SAR data
- A Case Study in GIS
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