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Learn QGIS

Techniques for efficient spatial analysis

Andrew CuttsIvan IvanovES+1

Created by Andrew Cutts, Ivan Ivanov, Eugenia Sarafova and 1 more

Explore practical techniques for spatial data analysis and mapping using QGIS. Build skills in data creation, visualization, and advanced geospatial analysis with real-world applications. Stay current with the latest tools, including AI and field data collection methods.

Packt | Mar 2026 | 432 min

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LevelIntermediate
CategoriesData Science, Data Analysis Workflows and Tools, QGIS, Python

What You Will Learn

You will gain hands-on experience by working through real scenarios, starting with data creation and visualization. As you progress, you will apply cartographic principles, conduct spatial analysis, and use Earth Observation data. New topics like AI integration and ethical considerations help you address modern GIS challenges confidently.

Key Features

  • Master spatial data creation, editing, and visualization for effective mapping
  • Apply spatial analysis techniques to real-world environmental and socioeconomic data
  • Leverage AI and Earth Observation data to enhance geospatial insights

Target Audience

Designed for GIS professionals, researchers, and students with some experience in spatial data, this course is ideal if you want to deepen your skills in mapping, analysis, and modern geospatial workflows. It is especially useful for those in environmental management, urban planning, and related fields seeking practical, up-to-date GIS expertise.

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