Suggested preparation: Basic statistics and comfort working with data files.
About this course
Combine introductory R programming with geographic information systems. The lessons move from data structures and statistical models to projections, maps and extracting information from spatial data.
Topics and lesson examples
- Introduction to R, Part I: Interface and Data Structures
- Introduction to R, Part III: Linear and Mixed Models in R
- Introduction to GIS, Part I: Key Concepts
- Introduction to GIS, Part III: Projection
- Introduction to GIS, Part VI: Plotting Maps with ggplot2
Course at a glance
| Provider | MIT |
|---|---|
| Platform | YouTube · MIT OpenCourseWare |
| Access | Free Video |
| Level | Beginner — WikiFree study-level assessment |
| Language | English |
| Available lessons | 10 |
| Video duration | 2h 38m · self-paced |
| Details checked | 10 October 2026 |
Preparation and study approach
Suggested preparation: Basic statistics and comfort working with data files.
Follow the available videos in sequence, pausing to summarize the main argument or reconstruct a worked example. Keep a short list of assumptions, unfamiliar terms and questions to revisit. Additional reading, problem solving and practice will take time beyond the listed video duration.
Using this video classroom
Select a lesson from the list, or search for a topic. Previous and Next move through the sequence. You can mark lessons complete; progress is stored in this browser without a WikiFree account.
Free access and course scope
The public MIT OpenCourseWare videos in this classroom are free to watch. This listing provides the available playlist recordings, which may include selected lectures, recitations, demonstrations or supporting discussions rather than every component of the original campus course. Textbooks, equipment, software licenses, supervised labs, graded assignments and instructor feedback are not supplied by WikiFree. No purchase is required to watch the videos or use the note-based study approach above.
WikiFree independently organizes these resources for self-paced study. Watching does not award an MIT certificate, academic credit or admission to MIT.
Video provider and credit: MIT OpenCourseWare on YouTube. WikiFree titles, descriptions and cover artwork are independently prepared.
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Beginner
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free MIT Course: R Programming for GIS and Spatial Data Analysis | Beginner | Introduction to R, Part I: Interface and Data Structures · Introduction to R, Part III: Linear and Mixed Models in R · Introduction to GIS, Part I: Key Concepts | 2h 38m of video; practice time is additional |
| Free R Data Analysis Course: RStudio and ggplot2 | Beginner | Navigate introductory R and RStudio workflows · Work with data and build visualizations with ggplot2 · Combine code and explanation in an R Markdown report | 3h 0m of video; practice time is additional |
| Free Simplilearn Course: MATLAB Programming and Data Analysis | Beginner | Programming · PCA · Clustering | 3h 46m of video; practice time is additional |
| Data Analysis with Python: Free Course | Beginner | Python · NumPy · pandas | 12h 6m of video; practice time is additional |
Provider: MIT. Videos play from the MIT OpenCourseWare channel on YouTube.
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