An introductory course to R and RStudio that focuses on teaching vital coding functions to students with the goal of understanding bioinformatics principles and being able to plot coverage along a chromosome.
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Dr. Richard McElreath’s resourceful YouTube lecture series focuses on providing an in-depth walk through of Bayesian statistics.
Packages are the fundamental units of reproducible R code. They include reusable R functions, the documentation that describes how to use them, and sample data. This book will guide the reader through turning code into packages that others can easily download and use.
Pricing: Available for purchase on Amazon
Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set.
Pricing: Individual chapters available for purchase here
In step-by-step detail, this book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R.
Pricing: Hardcover and ebook versions available for purchase here
Like computer games? Solving REAL scientific problems? Check out this article from Howard Hughes Medical Institute to learn how citizen scientists are using FoldIt from the Baker Lab (University of Washington) to solve protein folding puzzles relevant to SARS-CoV-2.
Video tutorial collection providing guidance to using Prism for statistical analysis and graphing. Benefits: learn to choose appropriate statistical analysis for your data and create publication-quality graphs.
Pricing: Base classes are free with sign-up; additional courses for an additional fee
An energetic video “playlists” for statistics fundamentals and machine learning.
This is a wiki topic page featuring Python learning resources. Suggestions on this wiki page can be added by anyone and individual links have not been inspected by the creators of this web page.
Coding tutorial that requires basic Python knowledge and works with the Python library pytest
Estimated Course Duration: 1.5 hours