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Software Carpentry: R for Reproducible Scientific Analysis

This is a two-day intensive introduction to modern computational techniques for data management, analysis, and visualization with an emphasis on the programming language R. The course assumes no prior programming knowledge. By the end of the workshop, participants will be able to efficiently organize and clean data, manipulate data frames, estimate and work with statistical models, produce a variety of publication-quality plots, and compose dynamic documents that integrate writing, code, and code output. More information and the full curriculum is available at the Software Carpentry website. Attendees should bring a laptop and will be provided a list of software to install in advance.

Upcoming Sessions

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