Applied geospatial tools for school connectivity

As part of the project on capacity development to accelerate school connectivity, the Giga Learning Hub is organizing a face-to-face training through the ITU Academy. This hands-on training course equips participants with practical skills in QGIS and Python to address real-world school connectivity challenges.

Participants will master the sourcing and extraction of open data on ICT infrastructure and amenities, working in groups to solve connectivity problems using actual school connectivity datasets. Through guided exercises, participants will work in groups to analyse connectivity gaps, develop solutions, and present their findings to peers.

OBJECTIVES:

• Describe the essential concepts about working with geospatial data

• Use open data from GIGA Maps, Open Street Maps, Ookla Speedtest, OpenCellID, NASA and more

• Outline key steps in business planning for ICT infrastructure projects

• Analize Internet connectivity demand models using population data

CONTENT:

1. Business planning for ICT infrastructure projects

2. Introduction to working with geospatial data, including data types and coordinate reference systems

3. Introduction to the QGIS software and plugins

4. Sourcing open data from GIGA Maps, Open Street Maps, Ookla Speedtest, OpenCellID, NASA and more

5. Internet connectivity demand models using population data

6. Advanced techniques including visibility analysis for point-to-point connectivity and fiber path analysis

7. Geospatial data processing and optimization techniques with Python

8. Data visualization techniques with KeplerGL

Duration: 14 hours

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