Core Spatial Data Analysis: Introductory GIS with R and QGIS (Udemy.com)

Course seems to assume prior programming knowledge, as there is very little explanation of why we are doing what we are doing with R. Much of the instruction feels like "type this" rather than explaining the analytical goal behind the workflow. I often understood what a command was doing, but not why it was being used or what question we were trying to answer. The course also does a poor job of communicating objectives. Many exercises felt like clicking buttons or executing commands without understanding the destination or intended outcome. In addition, the course is showing its age. It uses a 10-year-old version of QGIS, and 3 of the 4 R packages used throughout the course are no longer available in current versions of R. This creates unnecessary friction for modern learners trying to follow along. Finally, the last video in the course appears to be an introduction to an entirely different Google Earth Engine course and even references sections that do not exist in this course. If this were a newly released course, that might be understandable as an oversight. For a course that has been available for many years, finding a completely unrelated course introduction as the final lesson makes the course feel outdated and insufficiently maintained.

Course was good, but lots of packages are outdated. You will have to do a lot of searching for new packages and functions that replace the ones used in the course. Also, the new packages and functions work a little differently sometimes, so it's not always an easy translation.

This course helped me understand the basics of spatial data analysis in a very practical way. The instructor explains everything clearly, and using both R and QGIS makes the learning experience much more valuable.

The intent and setup are good, but it could use some guidance. I'm a student already studying, when I have free time, I try to get extra skills. But this just isn't explained properly.

As a professional working in environmental planning, I found this course extremely relevant. The mix of R and QGIS was great I appreciated that both software tools are free/open, which makes applying the skills immediately realistic. The teacher’s explanations were clear and practical, no fluff.

Clear, concise, and well-structured: the instructor does a fantastic job bridging the gap between statistical analysis in R and spatial mapping in QGIS. The hands-on project gave me something I can show in my portfolio, and I now feel confident tackling spatial questions in my own work. Excellent course.

What stood out was the mix of software: using R for processing and analysis, and QGIS for visualization. That dual approach is powerful and relatively rare in beginner courses. The instructor’s academic and industry background shows, and the tips and tricks provided made things much smoother for me. I feel this was time well spent.

This course exceeded my expectations. The instructor breaks down complex spatial concepts into easy-to-follow lessons, and the combination of R and QGIS makes the learning experience both powerful and practical. I walked away with real skills I can immediately apply to my research and professional projects. Definitely worth taking!

“I’ve taken a number of data analysis courses, but this one is special because it focuses on spatial analysis and uses free tools (R + QGIS). If you’re working in conservation, environment, urban planning or any field with geospatial data, this course gives you actionable skills. The explanations are friendly yet professional. Highly recommended!”

Absolutely loved this course! The instructor did an excellent job of explaining the concepts in a way that's easy to follow, even if you’re a beginner. I now feel much more comfortable working with both R and QGIS for spatial data analysis. The course is comprehensive, and I really appreciated the real-world examples. This is a great investment if you want to learn spatial analysis!

Informative

Just started. Will update.