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
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5 GB | Duration: 4h 28m
Download
*
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
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5 GB | Duration: 4h 28m
Download
*