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Core GIS Analysis in QGIS: Learn to Conduct Complete GIS Pro

Name: Core GIS Analysis in QGIS: Learn to Conduct Complete GIS Pro
Rating: 4.2 (49 reviews)

GIS & Spatial Analysis with the Latest QGIS — Master Practical Geographic Information Systems Through Real GIS Projects

Created byKatie Alison

Last updated 11/2025

English

English [Auto],

What you'll learn

Learn step by step about QGIS, it's environment and interface using the latest long-lasting release in 2022
Learn how to visualize and manipulate GIS data (vector and raster data)
Start working with spatial data on real geolocating project to master powerful freeware GIS software
Understand the basic and intermediate GIS concepts and analysis
Learn how to work on geospatial projects in QGIS environment step-by-step
Learn how to create beautiful maps in QGIS
Link GIS data analysis results to open source GIS map (open street map)
Get introduced to Remote Sensing basics and satellite image manipulation in QGIS

Course content

8 sections • 41 lectures • 3h 57m total length

Introduction2:14
Learn core GIS analysis in QGIS through a project-based introduction to geographic information systems, remote sensing, and OpenStreetMap data, using the latest open source QGIS with hands-on practice.
Course Motivation: Applications of GIS6:51

Definition of GIS1:26
Main principles of GIS3:57
Basics of Geodata and its main types2:43
Explore the basics of geodata in GIS, comparing vector and raster types, including points, lines, polygons and pixel-based data like elevation and land cover.
GIS data sources6:30
Discover free data sources for your projects, including natural resource data, open data portals, and satellite imagery from Google Maps, Sentinel Hub, USGS Earth Explorer, and Google Earth Engine.
Principles of GIS

Adding vector layer to QGIS4:51
Load vector data into QGIS by adding shapefiles, either via drag-and-drop or add vector layer, then check coordinate system alignment and rearrange layers so subway stations appear on top.
Visualization of vector layers in QGIS4:19
Identify and select features in attribute tables and in canvas of QGIS7:53
Identify features in the map view, open attribute tables, and practice selecting subway stations in QGIS by area or a single click, and by expression.
Adding and visualizing raster files in QGIS 3.169:47
Saving the project in QGIS2:13
Save your QGIS project frequently to preserve symbology, labeling, and the current zoom. Use save as to name and store the project in its vault folder with loaded layers.

Introduction to the section and analysis1:48
Lab: Create a new project from an existing one2:06
Create a new QGIS project from an existing one by saving as chapter two, then add and zoom to a census tract shapefile as a layer by dragging it in.
Lab: Select vector features by locations6:43
Lab: Clipping vector files & Tidy up your workspace5:57
Lab: Workinng with attribute tables8:57
Join census data from an Excel file to a shapefile in QGIS using a common identifier, and view attributes like population, age 18 to 49, and median household income.
Lab: Vector Analysis: Mapping attributes of vector file3:48
Lab: Vector Analysis: Plot coordinate data from a text file in QGIS7:57

Section Introduction1:10
Lab: Vector Analysis: Running the basics statistics on the vector data4:48
Apply vector analysis in QGIS to compute mean and median percent of women aged 18-49 by New York City tracts to identify suitable tracts for coffee shops.
Lab Vector Analysis: Count points in polygon & Create new shape file5:50
Count coffee shop points in each tract with QGIS, create a shapefile with a field for the count, and apply a threshold to keep tracts with two or fewer.
Lab Visualization of GIS data: Copying Styles from one GIS layer to another one2:42
Lab Vector Analysis: Advanced Query on Attribute Table using various operators9:17
Lab Vector Analysis: Buffer Zones3:36
Lab Vector Analysis: Intersection of vector files3:01
Results Interpretation2:45
Results Interpretation via link with Open Street Map3:15

Results visualization with quick settings in QGIS and Open street map4:48
Lab: Your First GIS Map in QGIS12:35
Color advice for cartography and GIS maps9:22
Learn to select optimal map colors with color brewer tool, tailoring schemes for sequential, divergent, and qualitative data, with road and city overlays and export formats for QGIS and ArcGIS.
MAp project0:01
Data Exploration:
Download and load the provided Landsat 5 image into QGIS.
Inspect the Attributes and Layer Properties to identify the spatial and spectral resolutions.
Raster Analysis:
Display each band separately, noting the information each band provides about different land cover types.
Create natural and false color composites using different band combinations to visualize vegetation, water, and urban areas.
Map Layout:
Design a basic map layout for a selected area, adding essential elements like title, legend, scale bar, and north arrow.
Submission: Provide screenshots of your loaded data and composite maps, along with a brief summary of your observations on the land cover types.
Bonus2:12
Celebrate completing the core GIS analysis course and explore additional resources on Udemy, YouTube, and social media for further learning in remote sensing, data science, and machine learning.

Requirements

Interest in the topic
A working PC with internet connection

Description

Unveiling the World of GIS and Remote Sensing

This course provides a practical, project-oriented introduction to Geographic Information Systems (GIS) and Remote Sensing using the newest long-term release of QGIS. QGIS is a powerful, free, and open-source geospatial platform. In this course, you will learn how to complete full GIS project workflows, including data acquisition, preprocessing, spatial analysis, and map production.

Fast-Track Your Geospatial Skills

Using real datasets and hands-on exercises, you will build practical competence in:
• GIS fundamentals
• Raster and vector data handling
• Spatial analysis techniques
• Introductory remote sensing workflows in QGIS
• Map design and data visualization

By the end of the course, you will be able to perform GIS and Remote Sensing tasks confidently and follow a structured, professional approach to geospatial project analysis.

Your Learning Path

Getting Started with QGIS
• Installation and interface overview
• Essential plug-ins
• Understanding geospatial data formats and structures
GIS Analysis Essentials
• Core raster and vector operations
• Spatial queries
• Data preparation, cleaning, and management
Remote Sensing in QGIS
• Importing and viewing satellite imagery
• Basic spectral analysis
• Working with raster layers for environmental and land-use applications
Real GIS Projects Step by Step
• Problem definition
• Data collection and preprocessing
• Spatial analysis workflows
• Map generation and interpretation

Visualize and Communicate Results

You will learn how to design clear, high-quality maps that communicate geospatial information effectively. These skills are essential for academic work, environmental decision-making, planning, and professional reporting.

Applications Across Multiple Sectors

The techniques in this course apply directly to:
• Agriculture and land use
• Environmental management
• Water and hydrology
• Geology and mining
• Forestry and natural resources
• Urban and regional planning
• Research and education

Enroll Today and Advance Your GIS Career

Begin your journey into GIS and Remote Sensing with a practical, project-based course that builds real analytical confidence. Enroll now and start conducting complete, professional GIS projects using the latest QGIS tools.

Who this course is for:

Anyone who is interested in get started with GIS and QGIS and would like to learn project-oriented GIS analysis

Core GIS Analysis in QGIS: Learn to Conduct Complete GIS Pro

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 9min

Key principles of Geographic Information systems (GIS)4 lectures • 15min

QGIS software and your PC set up5 lectures • 39min

Manipulating spatial data (vector and raster) in GIS and QGIS 3.165 lectures • 29min

Basics of satellite image analysis in QGIS4 lectures • 43min

Core geoprocessing analysis & vector analysis in QGIS: example of GIS-project7 lectures • 37min

Core geoprocessing & vector analysis in QGIS: example of GIS-project: Part 29 lectures • 36min

Visualization of the results5 lectures • 29min

Requirements

Description

Who this course is for: