inspired by Bradley Boehmke
Advanced Data Science (course)
Data: Past, Present, and Future (course)
Statistical Programming Paradigms and Workflows (course)
Stats course on regression (course)
Advanced R (course)
Applied HPC with R (course)
Creating Quarto Websites (tutorial)
Data Analysis and Prediction Algorithms with R (course)
Exploratory Data Analysis with R (course)
Microbiome-related data analysis in R (course)
OHI Introduction to Open Data Science (course)
R for Biologists (course)
R for Excel Users (course)
R for Epidemiology (course)
R for Non-Programmers: A Guide for Social Scientists (course)
R for Paleolimnology (2018) (course)
R for the Rest of Us (course)
Neural Networks and Deep Learning (book)
Data Carpentry for Biologists (courses)
Earth Lab Resources (web)
EcoForecast (Ecological Forecasting) (resource list)
Ecological Forecasting (courses)
Openscapes (web)
R for Ecology (cheatsheet)
Statistics for Ecologists (course)
Applied Genomics (course)
Applied Population Genetics (course)
Babraham Bioinformatics (courses)
Bioinformatics Interest Group (courses)
Controlling Variation in RNA-seq (Mike Love) (Rmd)
Langmead Lab Teaching Materials (courses)
HCL Wizard for color palettes (web)
Inclusive Pedagogy (resource list)
aRtsy: Generative Art with R and ggplot2 (package)
Emojis in RMarkdown (package)
Playmeans: Data Science Through Music (app)
Binder (tool)
Data Classroom (web)
Dataspire (web)
learnr: Interactive Tutorials in R (package)
LTER Data Sampler (datasets)
Open Syllabus (database of courses)
Teach with Wikipedia (resource)