Generate learning personas for those who will teach the module.

[PatriLoto]

Including the person's general background, what they already know, what they want to achieve, and any special needs they have.

[PatriLoto]

profile of instructor number 1:
Career: Agricultural Engineer, MSc. Expert in Remote Sensing.
Teaching Experience:

• Several years of experience in remote sensing and soil and water management topics.
• 2 years of experience teaching courses or workshops related to geospatial data analysis.
• Experience working with free software tools such as QGIS or Python packages, among which GeoPandas and Rasterio stand out.

Skills:

• Strong knowledge of geographic reference systems.
• Experience in georeferencing and geocoding techniques.
• Strong Python programming skills

[PatriLoto]

profile of instructor number 2:
Career: Data Scientist
Degree: Bachelor of Science in Environmental Science with a Master of Science in Geospatial Information Science
Teaching Experience

• 4 years of experience teaching undergraduate and graduate courses in data science.
• Experience as an instructor in workshops and short courses on spatial analysis with Python.

Skills:
Strong background in geographic information systems (GIS) and spatial analysis.

• Proficient in GIS software such as ArcGIS, QGIS and GRASS GIS.

• Expert in the use of free and open source software tools for geospatial analysis.
  Interests

• Application of data science and geospatial analysis to solve environmental problems

• Development of innovative tools and methodologies for geospatial analysis

[PatriLoto]

I'll add in the section about the course