GIS for Beginners

GIS for Beginners

Course schedule

Classroom Training:
DateVenueDurationPrice
1 - 5 Jun 2026London5 days£4,995
17 - 21 Aug 2026London5 days£4,995
2 - 6 Nov 2026London5 days£4,995

Please note: prices shown above are exclusive of VAT (20%).

If you don’t see your preferred course date, please contact us.

Course Overview

A clear introduction to mapping and spatial data. You learn how GIS works, how data is collected, and how to carry out simple analysis for daily tasks. The course builds confidence with layers, attributes, and coordinates. You also learn to produce accurate outputs that support planning, reporting, and operational decisions.

Who Should Attend

For professionals starting their GIS journey. Past delegates have included:

  • Planning Assistants
  • Research Officers
  • Junior Analysts
  • Administrative Officers
  • Field Survey Technicians

Course Outcomes

  • Use GIS software to create simple maps.
  • Manage spatial data and attributes confidently.
  • Apply core analysis tools to support decisions.
  • Produce clear outputs for reports and presentations.
  • Check and correct common data issues.
  • Understand how GIS fits into organisational tasks.

Course Topics

Introduction to GIS Platforms

  • Explore the main functions of widely used GIS systems.
  • Set up projects and organise map documents and files.
  • Import and display different spatial data types.
  • Adjust basic symbology to create readable maps.

Working with Map Layers and Attribute Tables

  • Add, remove, group, and order layers effectively.
  • Use attribute tables to sort, filter, and edit records.
  • Link layers to external data sources using joins and relates.
  • Export layers in suitable formats for sharing and archiving.

Core GIS Concepts

  • Understand coordinates, projections, and why they matter.
  • Compare raster and vector data and choose the right type.
  • Recognise how spatial data is captured and potential errors.
  • Apply core concepts to simple real-world scenarios.

Data Management and Spatial Analysis

  • Clean and organise incoming datasets for reliable use.
  • Use basic analysis tools such as buffers and spatial queries.
  • Manage shapefiles, geodatabases, and key metadata fields.
  • Prepare data for more advanced analysis or reporting.

Applied Mapping Techniques

  • Create clear maps tailored to different audiences.
  • Use labelling and symbology to highlight key themes.
  • Apply layouts, scale bars, north arrows, and legends.
  • Export maps in print and digital formats for stakeholders.

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