Geographic Information System in QGIS: Basic of GIS Analysis
What you'll learn
- Learn step by step about QGIS using the latest long-lasting release in 2022
- Learn how to work with and manipulate GIS data (vector and raster data)
- Understand the basic and intermediate GIS concepts and analysis
- Learn how to create beautiful maps in QGIS
- Learn the core GIS operations on vector and raster layers
- Analyze spatial data using QGIS
- Learn how to work on geospatial projects in QGIS environment step-by-step
Requirements
- Interest in the topic
- A working PC with internet connection
Description
Fundamentals of practical Geographic Information System (GIS) in the QGIS
I'm very excited that you have found my Fundamentals of practical GIS in the QGIS course. My course provides you with all the necessary theoretical knowledge and practical skills to implement PRACTICAL, GIS analysis starting with the basic concepts of GIS and equipping you with all necessary knowledge and skills to implement your own independent GIS analysis in great QGIS open-source GIS software! I will also demonstrate to you how to implement GIS analyses in the latest long-lasting release version of open-source software QGIS 3.16, thus that you could immediately start using satellite images for your work and Remote Sensing projects.
This fundamental course is designed to equip you with the theoretical and practical knowledge of applied GIS analysis. By the end of the course, you will:
Understand the theory behind GIS analysis
Feel confident and completely understand the basics of GIS and its main components
Learn how to install and configure QGIS
Learn to work with vector and raster data in QGIS as well as use various QGIS plug-ins and toolboxes (SAGA, OTB, SCP etc).
You will learn in QGIS how to perform core vector data analysis (vector overlay, table manipulations, vector editing, value extraction etc) and raster data analysis (raster overlay, distance operations, topographic variable calculation, raster calculator, filtering raster data etc), and produce GIS maps for your reports and much more. In this course, I will also teach you how to work with the popular open-source QGIS software and its great tools and plug-ins for GIS analysis.
The course is ideal for professionals such as geographers, programmers, social scientists, geologists, GIS & Remote Sensing, and all other experts who need to use maps in their field and would like to learn more about geospatial analysis and satellite Remote Sensing in QGIS.
One important part of the course is the practical exercises. You will be given some precise instructions, downloadable practical materials, scripts, and datasets to create maps and conduct geospatial analysis using the QGIS software.
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
Instructor
![Kate Alison](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.2 Instructor Rating
- 3,059 Reviews
- 77,140 Students
- 34 Courses
I am a passionate data science expert and educator. I do regular teaching and training all over the world. I have many satisfied students! And now I will be glad if I can teach also you these interesting, highly applied, and exciting topics!
For GIS & Remote Sensing students:
Order of how to take my courses:
Option 1: Take all individual courses that contain more details and more labs in the following order:
1. Get started with GIS & Remote Sensing in QGIS #Beginners
2. Remote Sensing in QGIS: Fundamentals of Image Analysis 2020
3. Core GIS: Land Use and Land Cover & Change Detection in QGIS
4. Machine Learning in GIS: Understand the Theory and Practice
5. Machine Learning in GIS: Land Use/Land Cover Image Analysis
6. Machine Learning in ArcGIS: Map Land Use/ Land Cover in GIS
7. Object-based image analysis & classification in QGIS/ArcGIS
8. ArcGIS: Learn Deep Learning in ArcGIS to advance GIS skills
8. Google Earth Engine for Big GeoData Analysis: 3 Courses in 1
10. Google Earth Engine for Machine Learning & Change Detection
11. QGIS & Google Earth Engine for Environmental Applications
12. Advanced Remote Sensing Analysis in QGIS and on cloud
Option 2: Take my combi-courses that contain summarized information from the above courses, though in fewer details (labs, videos):
1. Geospatial Data Analyses & Remote Sensing: 4 Classes in 1
2. Machine Learning in GIS and Remote Sensing: 5 Courses in 1
3. Google Earth Engine for Big GeoData Analysis: 3 Courses in 1
4. Google Earth Engine for Machine Learning & Change Detection
5. Advanced Remote Sensing Analysis in QGIS and on cloud