This course was created from this GitHub template.
You can see the rendered course material here.
If you would like to contribute to this course material, take a look at the OTTR documentation.
The course covers fundamentals of R, a high-level programming language, and use it to wrangle data for analysis and visualization. The programming skills you will learn are transferable to learn more about R independently and other high-level languages such as Python. At the end of the class, you will be reproducing analysis from a scientific publication!
After taking this course, you will be able to:
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Analyze Tidy datasets in the R programming language via data wrangling, summary statistics, and visualization.
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Compute summary statistics and create data visualizations to interpret data.
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Describe how the R programming environment interpret complex expressions made out of functions, operations, and data structures, in a step-by-step way.
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Apply problem solving strategies to debug broken code.
If you are encountering any problems with this course, please file a GitHub issue.
All materials in this course are licensed under a Creative Commons Attribution 4.0 International License unless noted otherwise.
