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Result 73 - 84 of 88 courses

QGIS Spatial Datascience

QGIS
  • Certified
  • Workload: 24 hour

QGIS Training of Trainers

QGIS
  • Certified
  • Workload: 24 hour

QGIS WaPLUGIN

QGIS
  • Certified
  • Workload: 24 hour

QGIS WaPOR

QGIS
  • Certified
  • Workload: 24 hour

R Basics

R
  • Certified
  • Workload: 24 hour

R GGPlot

R
  • Certified
  • Workload: 24 hour

R Spatial

R
  • Certified
  • Workload: 24 hour

Satellite Data with SNAP

Earth Observation
  • Certified
  • Workload: 24 hour

Smart Maps with Python and Leaflet

Python
  • Certified
  • Workload: 24 hour

Spectral Thermal Imaging

Data Analysis
  • Certified
  • Workload: 24 hour

SQL Basics

Databases
  • Certified
  • Workload: 24 hour

UAV Mapping Basics

Geodesy
  • Certified
  • Workload: 24 hour

Why choose a course at Geo-ICT Training Center, The Netherlands?

55

Courses

82

Blended Learnings

1200

Participants per year

What is Blended Learning?

Blended Learning is an educational approach that combines live, face-to-face online instruction with digital learning experiences. This approach integrates the strengths of both live virtual and self-paced digital environments to create a flexible, personalized learning experience for students.

Key components of Blended Learning include:

  1. Face-to-face instruction: Traditional teaching methods like lectures, discussions, and in-class activities.
  2. Online learning: Digital content delivered through video lessons, interactive modules, and online discussions.
  3. Student control: Learners have the flexibility to control the time, pace, path, or place of their learning through online components.

Blended learning is increasingly popular as it leverages technology to provide more individualized instruction, support diverse learning styles, and combine synchronous (real-time) with asynchronous (self-paced) experiences.

A Venn diagram with four overlapping ovals labeled "Classroom" (blue, left), "Selfstudy" (red, right), "Theory" (yellow, top), and "Practice" (green, bottom). At the center, where all four areas overlap, is "Blended Learning" shown in green. The image illustrates that blended learning is a combination of theory, practice, classroom instruction, and self-study.

In this course, you will learn how to work with spatial data using QGIS, including data processing, spatial analyses, and creating clear visualizations for geospatial insights.

Basic familiarity with QGIS is helpful, but not required. The course is accessible to beginners and also offers depth for those with some experience in geospatial tools.

Geospatial analytics with QGIS enables you to explore spatial relationships and trends, supporting better decision-making in urban planning, environmental management, infrastructure, and more.

Spatial data analysis focuses on the location-based aspects of data, allowing you to explore patterns and relationships that are tied to geography—something general data analysis doesn’t cover.

You will learn to manage and manipulate geospatial datasets, perform spatial queries and analyses, and create professional maps to communicate your findings.

This course focuses on foundational spatial data techniques in QGIS. While machine learning is not a core component, you’ll gain analytical skills that provide a strong basis for more advanced workflows.

Yes, upon completing the course, you’ll be equipped to handle your own spatial data projects confidently using QGIS.

Effective map design is a key part of the course. You’ll learn how to visualize your data clearly and professionally to support communication and storytelling.