Core Spatial Data Analysis: Introductory GIS with R and QGIS from Udemy

MASTER

Do you find GIS & Spatial Data books & manuals too vague, expensive & not practical and looking for a course that takes you by hand, teaches you all the concepts, and get you started on a real life project?

Or perhaps you want to save time and learn how to automate some of the most common GIS tasks?

I'm very excited you found my spatial data analysis course. My course provides a foundation to carry out PRACTICAL, real-life spatial data analysis tasks in popular and FREE software frameworks.

My name is I am currently pursuing a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life spatial data from different sources and producing publications for international peer reviewed journals.

In this course, actual spatial data from the Tam Dao National Park in Vietnam will be used to give a practical hands-on experience of working with real life spatial data and understanding what kind of questions spatial data can help us answer. The underlying motivation for the course is to ensure you can put spatial data analysis into practice today. Start analyzing spatial data for your own projects, whatever your skill level and IMPRESS your potential employers with an actual example of your spatial data analysis abilities.

This is a core course in spatial data analysis, i.e. we will focus on learning the most important and widely encountered spatial data analysis tasks in both R and QGIS

It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts related to spatial data analysis. However, majority of the course will focus on working with the spatial data from the Tam Dao National Park, Vietnam. After each video you will learn a new concept or technique which you may apply to your own projects.

I will personally support you and ensure your experience with this course is a success.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Offers practical GIS & spatial data analysis for real projects

Teaches GIS & spatial data analysis with R & QGIS, meeting industry standards

Instructed by a PhD student researching GIS, indicating knowledge & experience

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Core Spatial Data Analysis: Introductory GIS with R and QGIS with these activities:

Review QGIS

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Help ensure you have a solid foundation in using the QGIS desktop application before starting this spatial data analysis course.

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Review existing notes or tutorials on using QGIS
Go through simple QGIS exercises to practice the most common operations
Attempt to replicate simple spatial data analysis tasks and troubleshoot any issues

Review R

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Ensure your R programming skills are strong before starting this course.

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Review existing notes or tutorials on using R
Go through simple R exercises to practice the most common operations
Attempt to replicate simple statistical or data analysis tasks in R

Follow tutorials on geospatial data analysis basics

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Supplement the course materials with additional tutorials to deepen understanding of fundamental concepts.

Browse courses on Geospatial Data Analysis

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Search online for tutorials on geospatial data analysis basics
Choose reputable sources and work through the tutorials step-by-step
Attempt to replicate the examples in your own data analysis projects

Eight other activities

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Spatial Data Manipulation Exercises

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Improve your spatial data manipulation skills through exercises.

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Load spatial data into R or QGIS
Perform basic spatial operations (e.g., buffer, intersect, union)
Create maps and visualizations

Attend workshops or conferences on spatial data analysis

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Expand your knowledge and connect with experts in the field.

Browse courses on Spatial Data Analysis

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Identify workshops or conferences on spatial data analysis that align with your interests
Attend the events, actively participate in discussions, and network with professionals
Follow up with speakers or attendees to continue learning and build connections

Creating a Model

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Test your skills by creating your own spatial data model.

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Identify the spatial data you need
Design the model
Implement the model
Validate the model

Practice spatial data analysis tasks using real-world datasets

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Solidify your understanding by applying spatial data analysis techniques to practical problems.

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Find publicly available spatial datasets relevant to your interests
Load the datasets into QGIS or R and explore their properties
Apply the spatial data analysis techniques learned in the course to answer specific questions about the data

Learn Advanced Spatial Analysis Techniques

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Expand your knowledge by exploring advanced spatial analysis techniques.

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Identify the advanced techniques you want to learn
Find online tutorials or courses
Follow the tutorials and complete the exercises

Mentor junior students or peers in spatial data analysis

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Deepen your understanding by teaching and guiding others in their learning journey.

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Identify opportunities to mentor or tutor others in spatial data analysis
Prepare lesson plans and materials to guide your mentees
Provide feedback and support to help your mentees develop their skills

Participate in spatial data analysis competitions or hackathons

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Challenge yourself and test your skills in a competitive environment.

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Identify spatial data analysis competitions or hackathons that align with your interests
Form a team or work individually to develop innovative solutions
Present your work and compete for recognition and prizes

Create a geospatial data analysis portfolio

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Showcase your skills and understanding by compiling a portfolio of your best spatial data analysis projects.

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Select your best spatial data analysis projects that demonstrate your proficiency
Create a website or online portfolio to showcase your work
Write brief summaries describing the projects, the techniques used, and the outcomes

Career center

Learners who complete Core Spatial Data Analysis: Introductory GIS with R and QGIS will develop knowledge and skills that may be useful to these careers:

Geospatial Analyst

A Geospatial Analyst uses their specialized knowledge of geographic information systems (GIS) to analyze spatial data. This data can come from a variety of sources, including satellite imagery, aerial photography, and census data. Geospatial Analysts use GIS software to create maps, charts, and other visualizations that help decision-makers understand the relationships between different geographic features. This course provides a foundation in GIS, which is essential for Geospatial Analysts.

See salaries and explore the career path for Geospatial Analyst

Spatial Data Scientist

Spatial Data Scientists use their knowledge of statistics and GIS to analyze spatial data. They develop models that can predict future trends and identify patterns in spatial data. This course provides a foundation in spatial data analysis, which is essential for Spatial Data Scientists. Students will also learn how to use R, which is a popular programming language for data analysis.

See salaries and explore the career path for Spatial Data Scientist

GIS Specialist

GIS Specialists use their knowledge of GIS software to create and manage spatial data. They work with a variety of clients to develop custom GIS solutions that meet their specific needs. This course provides a foundation in GIS, which is essential for GIS Specialists. Students will also learn how to use R and QGIS, which are two popular GIS software packages.

See salaries and explore the career path for GIS Specialist

Urban Planner

Urban Planners use their knowledge of GIS to plan and design cities and towns. They work with a variety of stakeholders to develop plans that meet the needs of the community. This course provides a foundation in GIS, which is essential for Urban Planners. Students will also learn how to use R and QGIS, which are two popular GIS software packages.

See salaries and explore the career path for Urban Planner

Environmental Scientist

Environmental Scientists use their knowledge of GIS to study the environment. They analyze spatial data to identify environmental problems and develop solutions. This course provides a foundation in spatial data analysis, which is essential for Environmental Scientists. Students will also learn how to use R, which is a popular programming language for data analysis.

See salaries and explore the career path for Environmental Scientist

Sociologist

Sociologists use their knowledge of GIS to study society. They analyze spatial data to understand the distribution of social groups and the factors that affect social behavior. This course provides a foundation in spatial data analysis, which is essential for Sociologists. Students will also learn how to use R, which is a popular programming language for data analysis.

See salaries and explore the career path for Sociologist

Anthropologist

Anthropologists use their knowledge of GIS to study human cultures. They analyze spatial data to understand the distribution of cultural groups and the factors that affect cultural behavior. This course provides a foundation in spatial data analysis, which is essential for Anthropologists. Students will also learn how to use R, which is a popular programming language for data analysis.

See salaries and explore the career path for Anthropologist

Natural Resource Manager

Natural Resource Managers use their knowledge of GIS to manage natural resources. They work with a variety of stakeholders to develop plans that protect and conserve natural resources. This course provides a foundation in GIS, which is essential for Natural Resource Managers. Students will also learn how to use R and QGIS, which are two popular GIS software packages.

See salaries and explore the career path for Natural Resource Manager

Geographer

Geographers use their knowledge of GIS to study the Earth. They analyze spatial data to understand the physical and human geography of the planet. This course provides a foundation in GIS, which is essential for Geographers. Students will also learn how to use R, which is a popular programming language for data analysis.

See salaries and explore the career path for Geographer

Archaeologist

Archaeologists use their knowledge of GIS to study past human societies. They analyze spatial data to understand the distribution of archaeological sites and the factors that affect human settlement patterns. This course provides a foundation in spatial data analysis, which is essential for Archaeologists. Students will also learn how to use R, which is a popular programming language for data analysis.

See salaries and explore the career path for Archaeologist

Economist

Economists use their knowledge of GIS to study the economy. They analyze spatial data to understand the distribution of economic activity and the factors that affect economic growth. This course provides a foundation in spatial data analysis, which is essential for Economists. Students will also learn how to use R, which is a popular programming language for data analysis.

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Cartographer

Cartographers use their knowledge of GIS to create maps. They work with a variety of clients to develop custom maps that meet their specific needs. This course provides a foundation in GIS, which is essential for Cartographers. Students will also learn how to use R and QGIS, which are two popular GIS software packages.

See salaries and explore the career path for Cartographer

Epidemiologist

Epidemiologists use their knowledge of GIS to study the distribution of diseases. They analyze spatial data to identify the factors that contribute to the spread of disease and to develop strategies for prevention and control. This course provides a foundation in spatial data analysis, which is essential for Epidemiologists. Students will also learn how to use R, which is a popular programming language for data analysis.

See salaries and explore the career path for Epidemiologist

Demographer

Demographers use their knowledge of GIS to study population trends. They analyze spatial data to understand the distribution and movement of people. This course provides a foundation in spatial data analysis, which is essential for Demographers. Students will also learn how to use R, which is a popular programming language for data analysis.

See salaries and explore the career path for Demographer

Historian

Historians use their knowledge of GIS to study the past. They analyze spatial data to understand the distribution of historical events and the factors that affect historical change. This course provides a foundation in spatial data analysis, which may be useful for Historians. Students will also learn how to use R, which is a popular programming language for data analysis.

See salaries and explore the career path for Historian