[Mitarbeiter.zoologie] Fwd: Course: Online.PopulationsGeneticsUsingR.Nov30-Dec11

[Antonella Soro]

this course (or some listed below) might interest some of you.
antonella


> Begin forwarded message:
> 
> From: evoldir at evol.biology.mcmaster.ca
> Subject: Course: Online.PopulationsGeneticsUsingR.Nov30-Dec11
> Date: 12. November 2020 at 08:33:39 CET
> To: antonella.soro at zoologie.uni-halle.de
> Reply-To: brian at helix.biology.mcmaster.ca
> 
> 
> 
> Fundamentals of populations genetics using R (FOPG01) This course will
> be delivered live
> 
> https://www.prstatistics.com/course/fundamentals-of-populations-genetics-using-r-fopg01/
> 
> 30 November - 11 December
> 
> This is a ¡¥LIVE COURSE¡Š ¡V the instructor will be delivering lectures
> and coaching attendees through the accompanying computer practical¡Šs
> via video link, a good internet connection is essential.
> 
> TIME ZONE ¡V Western European Summer Time ¡V however all sessions will
> be recorded and made available allowing attendees from different time
> zones to follow a day behind with an additional 1/2 days support after
> the official course finish date (please email
> oliverhooker at prstatistics.com for full details or to discuss how we
> can accommodate you).
> 
> Course Overview:
> 
> The aim of the course is to introduce you to the fundamentals of
> population genetics theory, through quantitative visualizations of the
> dynamic of genetic elements within and between populations, using the
> R statistical programming language. We will be using a mixture of
> lectures, exercises, and case studies to increase the intuitive
> understanding of population genetics concepts and facilitate
> conceptual experimentation and visualization in R.
> 
> By the end of the course participants should:
> 1. Understand the fundamentals of population genetics theory
> 2. Be able to use R to visualize data sets and write simple functions
> 3. Know how to import different data types into and out of R
> 4. Create simple population genetics simulations in R
> 5. Understand essential summary statistics from the population genetics
>   literature (e.g. FST , D, pi, theta, etc.)
> 6. Be able to generate publication quality figures from population
>   genetic data
> 
> UPCOMING COURSES
> 
> Introduction to Python and Programming in Python (PYIN01)
> https://www.prstatistics.com/course/introduction-to-python-and-programming-in-python-pyin01/
> 
> Introduction to mixed models using R and Rstudio (IMMR03)
> https://www.prstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr03/
> 
> Bayesian hierarchical modelling using R (IBHM05)
> https://www.prstatistics.com/course/bayesian-hierarchical-modelling-using-r-ibhm05/
> 
> Meta-analysis in ecology, evolution and environmental sciences (METR01)
> https://www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr01/
> 
> Fundamentals of populations genetics using R (FOPG01)
> https://www.prstatistics.com/course/fundamentals-of-populations-genetics-using-r-fopg01/
> 
> Introduction to Scientific, Numerical, and
> Data Analysis Programming in Python (PYSC01)
> https://www.prstatistics.com/course/introduction-to-scientific-numerical-and-data-analysis-programming-in-python-pysc01/
> 
> Machine Learning and Deep Learning using Python (PYML01)
> https://www.prstatistics.com/course/machine-learning-and-deep-learning-using-python-pyml01/
> 
> Structural Equation Modelling for Ecologists
> and Evolutionary Biologists (SEMR03)
> https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr03/
> 
> Species Distribution Modeling using R (SDMR03)
> https://www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr03/
> 
> Model-based multivariate analysis of abundance data using R (MBMV03)
> https://www.prstatistics.com/course/model-based-multivariate-analysis-of-abundance-data-using-r-mbmv03/
> 
> Landscape genetic data analysis using R (LNDG04)
> https://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg04
> 
> Functional ecology from organism to
> ecosystem: theory and computation (FEER01)
> https://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer02/
> 
> 
> -- 
> Oliver Hooker PhD.
> PR statistics
> 
> 2020 publications;
> Parallelism in eco-morphology and gene expression despite variable
> evolutionary and genomic backgrounds in a Holarctic fish. PLOS
> GENETICS (2020). IN PRESS
> 
> www.PRstatistics.com
> facebook.com/PRstatistics/
> twitter.com/PRstatistics
> 
> 53 Morrison Street
> Glasgow
> G5 8LB
> +44 (0) 7966500340
> +44 (0) 7966500340
> 
> Oliver Hooker <oliverhooker at prstatistics.com>
> 

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