Qgis For Beginners: Master Gis With Real-World Projects

Learn QGIS step by step. Master spatial analysis, geoprocessing, and map design with real world examples.

What you'll learn

Navigate QGIS with Confidence – Understand key GIS concepts, manage layers, and utilize essential tools for spatial analysis.

Work with Vector and Raster Data – Perform attribute table operations, spatial queries, and raster calculations.

Georeference and Digitize Data – Import scanned maps, align them with real-world coordinates, and create vector datasets.

Perform Spatial Analysis and Mapping – Use buffers, intersections, and digital elevation models (DEMs) for advanced geoprocessing and map creation.

Create High-Quality Maps and Reports – Design professional maps with symbology, labels, and print layouts for clear data visualization.

Receive a Certificate upon Completion of the Course

Requirements

This course is designed to be accessible to anyone, so no prior GIS or programming knowledge is needed

No prior environmental engineering experience required

Description

Unlock the power of GIS with QGIS, the leading open-source software for spatial analysis. This course takes you from the basics to advanced geoprocessing and mapping techniques, empowering you to analyze spatial data and create professional maps.What you’ll learn in this course:Navigate QGIS and understand key GIS concepts, including spatial analysis techniques.Work with vector and raster data, managing attribute tables and performing spatial queries.Perform spatial analysis using tools like buffers, intersections, and raster calculations.Import and analyze a Digital Elevation Model (DEM) to understand terrain and bathymetry for advanced analysis.Create high-quality, professional maps with advanced symbology, labels, and print layouts.Automate workflows and improve efficiency with QGIS’ powerful processing toolbox.Master georeferencing to align your data with real-world coordinates and use it for analysis.Digitize features to create accurate vector data from scanned maps or satellite images.Who is this course for?Beginners who want to learn GIS and QGIS from scratch.Environmental engineers, consultants, and professionals in related fields.Anyone seeking to perform spatial analysis and create professional-quality maps.By the end of this course, you will have a strong foundation in QGIS, enabling you to confidently perform spatial analysis and produce maps for real-world applications.

Overview

Section 1: Theoretical Foundations in Geography and GIS

Lecture 1 Introduction to the Module

Lecture 2 General introduction to Geographic Information Systems (GIS)

Lecture 3 Building blocks of GIS

Lecture 4 Brief history of geography and mapping

Lecture 5 Coordinate systems in GIS

Lecture 6 Most common file types in GIS

Lecture 7 Attributes

Lecture 8 What's next?

Section 2: Installing QGIS

Lecture 9 Introduction to the Module

Lecture 10 minimum computer requirements

Lecture 11 Brief overview of QGIS

Lecture 12 Download and installation process of QGIS

Lecture 13 What's next?

Section 3: Setting Up Your First Project in QGIS

Lecture 14 Introduction to the Module

Lecture 15 Launching QGIS and setting up toolbars and panels

Lecture 16 Setting up the project coordinate reference system

Lecture 17 Adding a vector layer, basemap raster layer and discovering the layer hierarchy

Lecture 18 Exploring basic toolbars

Lecture 19 Checking the layer metadata

Lecture 20 Attribute tables and selecting attributes

Lecture 21 Repeating the previous steps with another type of shapefile vectorlayer

Lecture 22 Saving the project and adding a third type of shapefile layer

Lecture 23 Pro tip: On the fly projections when the CRS does not match the project CRS

Lecture 24 Recapitulation of what we Learned in This Module

Section 4: Advanced Styling & Spatial Analysis in QGIS

Lecture 25 Introduction to the Module

Lecture 26 Setting up the layer data and formulating a research question

Lecture 27 Layer symbology: categorized symbology

Lecture 28 Layer symbology: graduated symbology and classification methods

Lecture 29 Layer symbology: graduated symbology and classifying on size

Lecture 30 Rule based symbology and a quicker way to combine color and size visualisations

Lecture 31 Exploring labelling options and changing the layer opacity

Lecture 32 Recapitulation of what we Learned in This Module

Section 5: Editing and Enhancing Spatial Data

Lecture 33 Introduction to the Module

Lecture 34 Editing shapefiles

Lecture 35 Snapping toolbar

Lecture 36 Attribute table in depth: Adding and editing fields

Lecture 37 Attribute table in depth: Calculating fields using the field calculator

Lecture 38 Pro tip: Calculating coordinates in degrees minutes and seconds

Lecture 39 Attribute table in depth: Dynamic variables (Coordinates, Area, Perimeter)

Lecture 40 Adding plugins and loading different basemaps

Lecture 41 Pro tip: Joining datasets using a common unique identifier

Lecture 42 Recapitulation of what we Learned in This Module

Section 6: Introduction to the Case Study and Preparing Data for Environmental Analysis

Lecture 43 Introduction to the Module

Lecture 44 Introduction to the Case Study

Lecture 45 Overview of project data for the Case Study

Lecture 46 Adding and visualising geographic data as CSV and vector shapefiles

Lecture 47 Importing DXF files

Lecture 48 Putting forward the environmental restrictions for the Case Study

Lecture 49 Making data editable by converting to shapefiles

Lecture 50 Pro tip: Exporting a file to a different coordinate reference system

Lecture 51 Continuing with data conversions and setting everything ready for analysis

Lecture 52 Recapitulation of what we Learned in This Module

Section 7: Advanced Spatial Analysis in QGIS: Evaluating Island Location Suitability

Lecture 53 Introduction to the Module

Lecture 54 Refreshing the Environmental Restrictions and Visualising crucial data

Lecture 55 What is the Processing Toolbox?

Lecture 56 Analysis 1 using Count points in polygon and Merge

Lecture 57 Analysis 2 using Buffer, Intersect and Layer Statistics

Lecture 58 Analysis 3 using Filter and Overlap Analysis

Lecture 59 Conclusion of the Analysis

Lecture 60 Pro tips: History of Algorithms and Fixing Invalid Geometries

Lecture 61 Recapitulation of what we Learned in This Module

Section 8: Georeferencing and Digitizing: Converting Images into Spatial Data

Lecture 62 Introduction to the Module

Lecture 63 Additional Case Study Information and Challenges

Lecture 64 Looking at the Available Data and Setting up the Project

Lecture 65 Georeferencing by using Coordinates on the Map

Lecture 66 Digitizing the Georeferenced Data

Lecture 67 Georeferencing by using Distinct Features on the Map

Lecture 68 Recapitulation of what we Learned in This Module

Section 9: Uploading a Digital Elevation Model and Analysing Raster and Vector Data

Lecture 69 Introduction to the Module

Lecture 70 Designing a Monitoring System for Environmental Impact Assessment

Lecture 71 Importing a Digital Elevation Model (DEM) from GEBCO

Lecture 72 Performing Raster Analyses with the Raster Calculator

Lecture 73 Defining the Monitoring Buoy Locations and Setting up Buffers

Lecture 74 Creating the Monitoring Buoy Shapefile Layer

Lecture 75 Creating Vector Contour Lines based on a Raster Layer

Lecture 76 Sending Files to External Parties as a Geopackage and Exporting the Layer Style

Lecture 77 Recapitulation of what we Learned in This Module

Section 10: Creating a Professional Monitoring Map

Lecture 78 Introduction to the Module

Lecture 79 Exploring the Data and Visualising the Correct Layers for the Monitoring Map

Lecture 80 Setting Custom Symbols and Color Codes for Objects

Lecture 81 Styling the Contour Lines for the Monitoring Map

Lecture 82 Setting Up a Map Layout

Lecture 83 Setting Up a Map Grid

Lecture 84 Adding Map Elements: North Arrow, Scalebar, Title and Legend

Lecture 85 Adding Map Elements: Attribute Table, Overview Map, Image and Metadata

Lecture 86 Exporting the Monitoring Map

Lecture 87 Recapitulation of what we Learned in This Module

Lecture 88 Final Words

Environmental engineering students,Ecological enthousiasts,Marine science enthusiasts,Environmental engineers,Researchers and Academics,Professionals in Environmental or Civil Engineering,Hobbyists and Enthusiasts,Science enthousiasts,Anyone Interested in Spatial Data,NGOs and Humanitarian Workers,Students and Beginners in GIS