I think a lot of these resources will be useful to many.
It?s very general but with some evolutionary courses.

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General Advancing in R (ADVR01)

Introduction to generalised linear models using R and Rstudio
(IGLM06)

Introduction To Mixed Models Using R And Rstudio (IMMR07)

Model selection and model simplification (MSMS04)

Data visualization with ggplot2 using R and Rstudio (DVGG04)

Reproducible and collaborative data analysis with R (RACR03)

Time Series Data Analysis (TSDA02)

Time Series Analysis and Forecasting using R and Rstudio (TSAF01)

Introduction to Machine Learning using R and Rstudio (IMLR02)

Machine Learning with R (Intermediate - Advanced) (MLIA01)

Bayesian

Introduction / Fundamentals of Bayesian Data Analysis statistics
using R (FBDA01)

Bayesian Approaches To Regression And Mixed Effects Models Using R
and brms (BARM01)

Introduction To Stan For Bayesian Data Analysis (ISBD01)

Bayesian Data Analysis (BADA02)

Spatial

Making Beautiful And Effective Maps In R (MAPR04)

Adapting To The Recent Changes In R Spatial Packages (sf, terra,
PROJ library) (PROJ02)

Using Google Earth Engine in Ecological Studies (GEEE01)

Remote sensing data analysis and coding in R for ecology (RSDA01)

Movement

Movement Ecology Using R(MOVEPR)

Hidden Markov Models for movement, acceleration and other ecological
data - an introduction using moveHMM and momentumHMM in R (HMMMPR)

Miscellaneous

Bioacoustics For Ecologists: Hardware, Survey design And Data
analysis (BIAC03)

Multivariate Analysis Of Ecological Communities Using R With The
VEGAN package (VGNR06)

Stable Isotope Mixing Models Using SIBER, SIAR, MixSIAR (SIMMPR)

Oliver Hooker PhD.

PR stats

Oliver Hooker <oliverhooker@prstatistics.com>

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oliverhooker@prstatistics.com

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