<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">this course (or some listed below) might interest some of you.<div class="">antonella</div><div class=""><br class=""><div><br class=""><blockquote type="cite" class=""><div class="">Begin forwarded message:</div><br class="Apple-interchange-newline"><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px;" class=""><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif; color:rgba(0, 0, 0, 1.0);" class=""><b class="">From: </b></span><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif;" class=""><a href="mailto:evoldir@evol.biology.mcmaster.ca" class="">evoldir@evol.biology.mcmaster.ca</a><br class=""></span></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px;" class=""><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif; color:rgba(0, 0, 0, 1.0);" class=""><b class="">Subject: </b></span><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif;" class=""><b class="">Course: Online.PopulationsGeneticsUsingR.Nov30-Dec11</b><br class=""></span></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px;" class=""><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif; color:rgba(0, 0, 0, 1.0);" class=""><b class="">Date: </b></span><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif;" class="">12. November 2020 at 08:33:39 CET<br class=""></span></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px;" class=""><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif; color:rgba(0, 0, 0, 1.0);" class=""><b class="">To: </b></span><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif;" class=""><a href="mailto:antonella.soro@zoologie.uni-halle.de" class="">antonella.soro@zoologie.uni-halle.de</a><br class=""></span></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px;" class=""><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif; color:rgba(0, 0, 0, 1.0);" class=""><b class="">Reply-To: </b></span><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif;" class=""><a href="mailto:brian@helix.biology.mcmaster.ca" class="">brian@helix.biology.mcmaster.ca</a><br class=""></span></div><br class=""><div class=""><div class=""><br class=""><br class="">Fundamentals of populations genetics using R (FOPG01) This course will<br class="">be delivered live<br class=""><br class=""><a href="https://www.prstatistics.com/course/fundamentals-of-populations-genetics-using-r-fopg01/" class="">https://www.prstatistics.com/course/fundamentals-of-populations-genetics-using-r-fopg01/</a><br class=""><br class="">30 November - 11 December<br class=""><br class="">This is a ¡¥LIVE COURSE¡Š ¡V the instructor will be delivering lectures<br class="">and coaching attendees through the accompanying computer practical¡Šs<br class="">via video link, a good internet connection is essential.<br class=""><br class="">TIME ZONE ¡V Western European Summer Time ¡V however all sessions will<br class="">be recorded and made available allowing attendees from different time<br class="">zones to follow a day behind with an additional 1/2 days support after<br class="">the official course finish date (please email<br class="">oliverhooker@prstatistics.com for full details or to discuss how we<br class="">can accommodate you).<br class=""><br class="">Course Overview:<br class=""><br class="">The aim of the course is to introduce you to the fundamentals of<br class="">population genetics theory, through quantitative visualizations of the<br class="">dynamic of genetic elements within and between populations, using the<br class="">R statistical programming language. We will be using a mixture of<br class="">lectures, exercises, and case studies to increase the intuitive<br class="">understanding of population genetics concepts and facilitate<br class="">conceptual experimentation and visualization in R.<br class=""><br class="">By the end of the course participants should:<br class="">1. Understand the fundamentals of population genetics theory<br class="">2. Be able to use R to visualize data sets and write simple functions<br class="">3. Know how to import different data types into and out of R<br class="">4. Create simple population genetics simulations in R<br class="">5. Understand essential summary statistics from the population genetics<br class=""> literature (e.g. FST , D, pi, theta, etc.)<br class="">6. Be able to generate publication quality figures from population<br class=""> genetic data<br class=""><br class="">UPCOMING COURSES<br class=""><br class="">Introduction to Python and Programming in Python (PYIN01)<br class="">https://www.prstatistics.com/course/introduction-to-python-and-programming-in-python-pyin01/<br class=""><br class="">Introduction to mixed models using R and Rstudio (IMMR03)<br class="">https://www.prstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr03/<br class=""><br class="">Bayesian hierarchical modelling using R (IBHM05)<br class="">https://www.prstatistics.com/course/bayesian-hierarchical-modelling-using-r-ibhm05/<br class=""><br class="">Meta-analysis in ecology, evolution and environmental sciences (METR01)<br class="">https://www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr01/<br class=""><br class="">Fundamentals of populations genetics using R (FOPG01)<br class="">https://www.prstatistics.com/course/fundamentals-of-populations-genetics-using-r-fopg01/<br class=""><br class="">Introduction to Scientific, Numerical, and<br class="">Data Analysis Programming in Python (PYSC01)<br class="">https://www.prstatistics.com/course/introduction-to-scientific-numerical-and-data-analysis-programming-in-python-pysc01/<br class=""><br class="">Machine Learning and Deep Learning using Python (PYML01)<br class="">https://www.prstatistics.com/course/machine-learning-and-deep-learning-using-python-pyml01/<br class=""><br class="">Structural Equation Modelling for Ecologists<br class="">and Evolutionary Biologists (SEMR03)<br class="">https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr03/<br class=""><br class="">Species Distribution Modeling using R (SDMR03)<br class="">https://www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr03/<br class=""><br class="">Model-based multivariate analysis of abundance data using R (MBMV03)<br class="">https://www.prstatistics.com/course/model-based-multivariate-analysis-of-abundance-data-using-r-mbmv03/<br class=""><br class="">Landscape genetic data analysis using R (LNDG04)<br class="">https://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg04<br class=""><br class="">Functional ecology from organism to<br class="">ecosystem: theory and computation (FEER01)<br class="">https://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer02/<br class=""><br class=""><br class="">-- <br class="">Oliver Hooker PhD.<br class="">PR statistics<br class=""><br class="">2020 publications;<br class="">Parallelism in eco-morphology and gene expression despite variable<br class="">evolutionary and genomic backgrounds in a Holarctic fish. PLOS<br class="">GENETICS (2020). IN PRESS<br class=""><br class="">www.PRstatistics.com<br class="">facebook.com/PRstatistics/<br class="">twitter.com/PRstatistics<br class=""><br class="">53 Morrison Street<br class="">Glasgow<br class="">G5 8LB<br class="">+44 (0) 7966500340<br class="">+44 (0) 7966500340<br class=""><br class="">Oliver Hooker <oliverhooker@prstatistics.com><br class=""><br class=""></div></div></blockquote></div><br class=""></div></body></html>