QGIS Quick Start (Beginner Level) Training Course

1. Introduction to GIS

• Definition and overview of GIS.
• Distinguishing GIS from digital mapping.
• Concepts of geographic information and spatial data.
• Core components of a GIS architecture.
• Typical real-world GIS applications.
• Differences between vector and raster data.
• Understanding points, lines, and polygons.
• Spatial attributes and their role.
• Interpretation of spatial relationships.
• Illustrative examples of GIS workflows.

2. Getting Started with QGIS

• Installation of QGIS software.
• Overview of QGIS Long-Term Release versions.
• Familiarization with the QGIS user interface.
• Navigating the Browser and Layers panels.
• Interacting with the Map Canvas.
• Utilizing toolbars and various panels.
• Initiating and saving QGIS projects.
• Strategies for project organization and file management.
• Comprehension of project-relative paths.
• Loading and viewing sample datasets.

3. Spatial Data Formats and Data Sources

• Review of common vector data formats.
• Details on Shapefile structure.
• Overview of GeoPackage.
• Use of GeoJSON.
• Handling CSV and delimited text files.
• Survey of standard raster formats.
• Understanding GeoTIFF.
• Importing data from local folders and databases.
• Concepts of open geospatial data.
• Basic introduction to online map and data services.
• Data licensing considerations and responsible usage.

4. Coordinate Reference Systems and Projections

• Explanation of Coordinate Reference Systems (CRS).
• Comparison of geographic and projected CRS.
• Roles of latitude and longitude.
• Interpretation of EPSG codes.
• Managing CRS within QGIS.
• Distinguishing between Project CRS and Layer CRS.
• Process of reprojecting data.
• Mechanics of On-the-fly CRS transformation.
• Identification of common CRS errors.
• Selecting the optimal CRS for analysis and mapping.

5. Working with Vector Data

• Procedure for adding vector layers.
• Exploring detailed feature information.
• Techniques for selecting specific features.
• Methods for identifying individual features.
• Applying filters to data.
• Calculating distances and areas.
• Steps for creating and modifying vector features.
• Editing attribute data.
• Applying snapping and basic digitizing techniques.
• Best practices for saving edits securely.

6. Attribute Data Management

• Understanding the structure of attribute tables.
• Overview of fields and data types.
• Sorting and filtering records effectively.
• Methods for calculating field values.
• Utilizing the Field Calculator.
• Syntax and usage of Expressions.
• Developing conditional expressions.
• Performing attribute joins.
• Integrating CSV and tabular data.
• Basics of table relationships.
• Foundations of data quality and validation.

7. Styling and Visualization

• Application of basic layer symbology.
• Implementation of categorized symbology.
• Use of graduated symbology.
• Configuration of rule-based styling.
• Adjusting transparency and blending modes.
• Managing symbol levels and layer order.
• Customizing colors and symbols.
• Creation and reuse of styles.
• Applying data-driven styling.
• Introduction to expression-based symbology.

8. Labels and Annotation

• Setting up basic labels.
• Strategies for label placement.
• Customizing label formatting.
• Configuring data-defined labels.
• Using expressions for dynamic labeling.
• Managing label priorities and conflicts.
• Adjusting buffering and text visibility.
• Core concepts of annotation.
• Best practices for cartographic labeling.

9. Basic Geoprocessing and Spatial Analysis

• Overview of geoprocessing concepts.
• Use of the Buffer tool.
• Application of Clip.
• Use of Intersect.
• Application of Union.
• Use of Dissolve.
• Application of Difference.
• Performing spatial selection.
• Extracting features based on location.
• Integrating geoprocessing tools into workflows.
• Understanding geometry validity checks.

10. Introduction to Raster Data

• Definition and nature of raster data.
• Raster structure and resolution concepts.
• Process of loading raster datasets.
• Techniques for raster visualization.
• Application of color ramps.
• Interpreting raster statistics.
• Identifying specific raster values.
• Basic raster calculations.
• Foundations of raster analysis.
• Understanding raster resolution and extent.

11. Modern QGIS Processing Workflows

• Overview of the QGIS Processing Toolbox.
• Techniques for searching algorithms.
• Interpreting processing parameters.
• Executing repeatable processing operations.
• Implementing batch processing.
• Reviewing processing history.
• Documentation and storage of workflows.
• Introduction to graphical models.
• Development of simple, reusable GIS workflows.

12. Creating Professional Maps

• Map composition and cartographic principles.
• Utilizing the Print Layout.
• Managing map frames.
• Adding titles and text elements.
• Creating and customizing legends.
• Inserting scale bars.
• Adding north arrows.
• Including grids and coordinate information.
• Using dynamic map elements.
• Managing multiple map frames.
• Adjusting page size and orientation.
• Exporting maps to PDF and image formats.
• Producing presentation-quality maps.

13. Modern QGIS Features and Workflows

• Use of GeoPackage as a modern spatial data container.
• Strategies for project organization.
• Management of layer styles and reusable configurations.
• Application of expressions and data-defined properties.
• Advanced selection and filtering methods.
• Concepts of temporal data.
• Introduction to 3D visualization.
• Overview of web-based GIS concepts.
• Integration of online basemaps and services.
• Understanding plugins and the QGIS ecosystem.
• Basic concepts of automation.

14. Practical Beginner GIS Project

Participants will complete a comprehensive GIS project that covers the entire workflow:

• Initiate a new QGIS project.
• Import vector, raster, and tabular data sources.
• Verify and manage Coordinate Reference Systems.
• Review and refine attribute data.
• Merge external tabular information.
• Apply categorized and graduated symbology to layers.
• Generate labels using expressions.
• Execute buffer, clip, intersect, and dissolve operations.
• Perform fundamental spatial analysis.
• Assemble a professional print layout.
• Export the finalized map.
• Save and organize the project along with supporting data.