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Subject: ONLINE COURSE: Statistics for Ecology and Conservation Biology (Jan 19-March 12, 2021)

Dates: Jan 19 - March 12, 2021

Website

Cost: 500.00 USD

Description: This asyncronous online course provides an overview of modern regression-based statistical analysis techniques relevant to ecological research and applied conservation, starting with basic linear models and moving quickly to generalized linear models (GLMs) and mixed models. The course aims to provide a robust understanding of the wide range of regression approaches available, the assumptions associated with each, and the circumstances under which each should be applied. Models covered enjoy widespread use in ecology and conservation biology and can be applied to a huge diversity of data types, study designs, and research questions. Emphasis is placed not only on proper implementation of models, but also on interpretation and explanation of results, recognizing uncertainty and model limitations. Participants will conduct all exercises using R, a free software environment for statistical computing and graphics which has now become standard in this field. In addition to recorded lectures and detailed demonstration analysis code, each week will include 2 optional live virtual sessions, one for review of weekly assigned problem sets, and the other for discussion and problem set Q & A. All exercises and demos will use real ecological data sets and participants will complete an independent analysis projects on a unique assigned dataset during the last two weeks of the course.


Smithsonian-Mason School of Conservation <SCBITraining@si.edu>
Tuesday, October 20, 2020

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