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Core GIS analysis in QGIS

learn conduct the GIS projects

Unveiling the World of GIS and Remote Sensing

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Unveiling the World of GIS and Remote Sensing

This course is your gateway to the exciting realm of GIS (geographic information systems) and introduces you to Remote Sensing in a project-oriented approach. Embrace the power of the newest version of the open-source QGIS software, available for free, as you dive into the world of GIS, Remote Sensing, and geospatial data analysis.

Fast-Track Geospatial Proficiency

In this practical geospatial analysis course, you'll swiftly gain a comprehensive understanding of GIS. By the course's end, you'll not only be confident in your grasp of GIS and Remote Sensing technology but also adept at tackling geospatial projects and crafting stunning maps with your data alongside open street map data.

Stay Current with QGIS

Unlike outdated courses based on previous software releases, our course is firmly grounded in the latest version of QGIS (the long-lasting release). This ensures that you learn what's essential for today's geospatial challenges, without wasting time or money on obsolete content.

Your Journey Starts Here

We'll commence by acquainting you with the QGIS open-source software, from installation to understanding its user-friendly interface and powerful plug-ins.

Next, we'll provide a concise yet practical introduction to GIS analysis and various data types. Following this, we'll dive into the world of Remote Sensing within QGIS.

Real-Life GIS Projects

Prepare to embark on practical and real-life GIS projects. Using real-world examples, we'll guide you step-by-step through GIS project analysis, from the fundamentals to advanced techniques. Along the way, you'll develop the essential skills needed to approach geospatial project analysis effectively. This knowledge is invaluable, whether you're working on a thesis or tackling GIS-related tasks in your professional life.

Visualize Your Success

Finally, you'll learn how to visually present the results of your GIS projects through captivating maps.

Versatile Applications

Our course equips you with the basics of GIS and Remote Sensing using open-source and free software tools. We'll explore a range of industries where GIS and Remote Sensing play a pivotal role, including agriculture, geology, mining, hydrology, forestry, environmental studies, and more. Expect hands-on, practical training that emphasizes real-world data application, rather than dwelling on theoretical concepts.

Enroll Today, Excel Tomorrow

Don't hesitate—enroll now to take the first step towards becoming a GIS professional tomorrow. Your journey into the world of geospatial data analysis begins here.

Enroll now

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
This course is beginner-friendly, making it an excellent starting point for individuals new to GIS and Remote Sensing
Utilizes the latest version of QGIS, ensuring that learners are equipped with up-to-date knowledge and skills
Incorporates hands-on, project-based learning, allowing learners to apply their knowledge practically
Covers a range of applications across various industries, providing learners with a comprehensive understanding of GIS and Remote Sensing's practical uses
Facilitates the creation of captivating maps, enabling learners to effectively visualize and present their findings
Taught by instructors with extensive experience in GIS and Remote Sensing, providing learners with access to industry insights and expertise

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Career center

Learners who complete Core GIS analysis in QGIS: learn conduct the GIS projects will develop knowledge and skills that may be useful to these careers:
Geospatial Analyst
Geospatial Analysts collect, analyze, and interpret geographic data to solve problems and make recommendations. This course provides a strong foundation in GIS and Remote Sensing, two essential tools for Geospatial Analysts. The course covers the basics of GIS analysis, data types, and Remote Sensing within QGIS, providing learners with the skills to work with geospatial data and create maps.
Geographic Information Systems Technician
GIS Technicians use GIS software to create and manage maps and other geospatial data. This course provides hands-on training in QGIS, the leading open-source GIS software. Learners will gain the skills needed to work with geospatial data, create maps, and solve problems using GIS.
Remote Sensing Analyst
Remote Sensing Analysts use satellite imagery and other remotely sensed data to collect information about the Earth's surface. This course provides an introduction to Remote Sensing within QGIS, giving learners the skills to work with remotely sensed data and extract meaningful information.
Urban Planner
Urban Planners use GIS to plan and design cities and towns. This course provides a foundation in GIS and Remote Sensing, two essential tools for Urban Planners. The course covers the basics of GIS analysis, data types, and Remote Sensing within QGIS, providing learners with the skills to work with geospatial data and create maps.
Environmental Scientist
Environmental Scientists use GIS and Remote Sensing to study the environment and solve environmental problems. This course provides a foundation in GIS and Remote Sensing, two essential tools for Environmental Scientists. The course covers the basics of GIS analysis, data types, and Remote Sensing within QGIS, providing learners with the skills to work with geospatial data and create maps.
Agricultural Scientist
Agricultural Scientists use GIS and Remote Sensing to study agriculture and natural resources. This course provides a foundation in GIS and Remote Sensing, two essential tools for Agricultural Scientists. The course covers the basics of GIS analysis, data types, and Remote Sensing within QGIS, providing learners with the skills to work with geospatial data and create maps.
Geologist
Geologists use GIS and Remote Sensing to study the Earth's surface and subsurface. This course provides a foundation in GIS and Remote Sensing, two essential tools for Geologists. The course covers the basics of GIS analysis, data types, and Remote Sensing within QGIS, providing learners with the skills to work with geospatial data and create maps.
Hydrologist
Hydrologists use GIS and Remote Sensing to study water resources. This course provides a foundation in GIS and Remote Sensing, two essential tools for Hydrologists. The course covers the basics of GIS analysis, data types, and Remote Sensing within QGIS, providing learners with the skills to work with geospatial data and create maps.
Mining Engineer
Mining Engineers use GIS and Remote Sensing to plan and design mines. This course provides a foundation in GIS and Remote Sensing, two essential tools for Mining Engineers. The course covers the basics of GIS analysis, data types, and Remote Sensing within QGIS, providing learners with the skills to work with geospatial data and create maps.
Forester
Foresters use GIS and Remote Sensing to manage forests. This course provides a foundation in GIS and Remote Sensing, two essential tools for Foresters. The course covers the basics of GIS analysis, data types, and Remote Sensing within QGIS, providing learners with the skills to work with geospatial data and create maps.
Cartographer
Cartographers use GIS and Remote Sensing to create maps. This course provides hands-on training in QGIS, the leading open-source GIS software. Learners will gain the skills needed to work with geospatial data, create maps, and solve problems using GIS.
Business Analyst
Business Analysts use GIS and Remote Sensing to analyze data and solve problems. This course provides a foundation in GIS and Remote Sensing, two essential tools for Business Analysts. The course covers the basics of GIS analysis, data types, and Remote Sensing within QGIS, providing learners with the skills to work with geospatial data and create maps.
Statistician
Statisticians use GIS and Remote Sensing to analyze data and solve problems. This course provides a foundation in GIS and Remote Sensing, two essential tools for Statisticians. The course covers the basics of GIS analysis, data types, and Remote Sensing within QGIS, providing learners with the skills to work with geospatial data and create maps.
Data Analyst
Data Analysts use GIS and Remote Sensing to analyze data and solve problems. This course provides a foundation in GIS and Remote Sensing, two essential tools for Data Analysts. The course covers the basics of GIS analysis, data types, and Remote Sensing within QGIS, providing learners with the skills to work with geospatial data and create maps.
Project Manager
Project Managers use GIS and Remote Sensing to plan and manage projects. This course provides a foundation in GIS and Remote Sensing, two essential tools for Project Managers. The course covers the basics of GIS analysis, data types, and Remote Sensing within QGIS, providing learners with the skills to work with geospatial data and create maps.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Core GIS analysis in QGIS: learn conduct the GIS projects.
This comprehensive textbook provides a thorough foundation in GIS principles, concepts, and applications. It valuable resource for beginners and advanced users alike, offering a comprehensive overview of the field.
Covers the fundamentals of remote sensing, including image acquisition, processing, and interpretation. Provides background knowledge for the course's remote sensing component.
Provides recipes and examples for using Python to automate QGIS tasks and extend its functionality. Valuable for those interested in scripting and automation.
Provides a practical introduction to geostatistics, covering topics such as data exploration, variogram analysis, and kriging. Valuable for those interested in spatial data analysis and interpolation.
This introductory textbook provides a concise overview of the fundamentals of remote sensing and GIS. It covers topics such as data sources, image processing, and spatial analysis techniques. It is particularly useful for those new to the field.
This practical guide combines GIS and R for spatial data analysis in ecology and agriculture. It covers topics such as data preparation, statistical analysis, and visualization techniques. While it focuses on R, the concepts are applicable to QGIS as well.
This tutorial introduces spatial analysis using R, a statistical programming language. It covers topics such as data import, processing, and visualization techniques. While it focuses on R, the concepts can be applied to QGIS as well.

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