QCBS R Workshop Series

A graduate student and post-doctoral fellow initiative from the Québec Centre for Biodiversity Science.
We offer workshops to other graduate students and early-career researchers to help them navigate statistics for research in ecology, evolution and biodiversity.

Discover Our Workshops

About The R Workshop Series

This series of 10 workshops walks participants through the steps required to use R for a wide array of statistical analyses relevant to research in ecology, evolution and biodiversity.

These open-access workshops were created by members of the QCBS both for members of the QCBS and the larger community. The content of these workshops has been continuously peer-reviewed and developed by QCBS members since their initial development in 2014. The workshop series is instructed by graduate students and post-doctoral fellows of the QCBS in English and in French every year.

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R IS FOR EVERYONE

Learning R can be challenging, even for the most experienced researchers. When you add statistical analyses to the mix, it’s easy to get overwhelmed. The QCBS R Workshop Series is here to help the QCBS community (and beyond!) get familiarized with R, programming strategies, and popular R packages so you can get started with the data management, visualizations, and statistical analyses you need to answer the research questions you’re interested in.

ABOUT REGISTRATION

Want to contribute to the series?

This series is an ever-evolving project that is made possible by the engagement of an enthusiastic community of graduate students and postdoctoral fellows. If you would like to join this community and improve your teaching and learning abilities, please get in touch with us about instructing and/or developing the QCBS R Workshop Series.

Get in touch

Fun Facts About Us

We are graduate students and post-doctoral fellows from the Québec Centre for Biodiversity Science. We develop and instruct workshops on a wide-array of statistical and computational methods to help other fellow early-career researchers from the network to navigate their analyses in ecology, evolution and biodiversity science.

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