August 2019
A Quickstart Guide to Plants and Drones for Professionals
Course Overview: The Quick-start Guide to Plants and Drones is a FREE course! The goal of this course is to bring students up to speed quickly on the commercial drone industry and specifically where plant mapping fits in. The class provides a general overview of where the drone industry has been and where it is headed next, specifically as it relates to plant-related industries, including agriculture, forestry, scientific, and more. This course assumes you are a professional (or want to…
Find out more »September 2019
Generalised Linear (GLM), Nonlinear (NLGLM) And General Additive Models (GAM) (GNAM01)
Course Overview: To find out more or to book online via our sister company (PS statistics) use the link below… https://www.psstatistics.com/course/generalised-linear-glm-nonlinear-nlglm-and-general-additive-models-gam-gnam01/ “This was by far the most useful statistic-related course I’ve done to date and I enjoyed all aspects of the course. The course was useful because it put into prospective the ecology aspect within the statistics. All parameters were explained in an ecological manner which made the math aspect much clearer. It helped to change the view I’ve got…
Find out more »R Package design and development and reproducible data science for biologists (RPKG01)
Course overview: This course will help students develop professional R coding skills by leading them through the process of making reproducible, sharable and easily communicated software centered around developing fully functional R packages and extensions. In addition to teaching traditional uses of R packages to share quantitative tools, we’ll also show how R packages can be easily developed for individual research projects to share reproducible results. To develop skills, we’ll build several R packages full of useful and general utility…
Find out more »Structural Equation Modelling and Path Analysis (SMPA01)
Course Overview: To find out more or to book online via our sister company (PS statistics) use the link below… https://www.psstatistics.com/course/structural-equation-modelling-and-path-analysis-smpa01/ “This was by far the most useful statistic-related course I’ve done to date and I enjoyed all aspects of the course. The course was useful because it put into prospective the ecology aspect within the statistics. All parameters were explained in an ecological manner which made the math aspect much clearer. It helped to change the view I’ve got…
Find out more »Data Science/Analytics using Python (DSAP01)
Course Overview: Coming soon... To find out more or to book online via our sister company (PS statistics) use the link below… https://www.psstatistics.com/course/data-science-analytics-using-python-dsap01/ “This was by far the most useful statistic-related course I’ve done to date and I enjoyed all aspects of the course. The course was useful because it put into prospective the ecology aspect within the statistics. All parameters were explained in an ecological manner which made the math aspect much clearer. It helped to change the view…
Find out more »October 2019
Geometric morphometrics using (Geomorph) R (GMMR02) FREE ACCOMMODATION AVAILABLE
Course overview: The field of geometric morphometrics (GM) is concerned with the quantification and analysis of patterns of shape variation, and its covariation with other variables. Over the past several decades these approaches have become a mainstay in the field of ecology, evolutionary biology, and anthropology, and a panoply of analytical tools for addressing specific biological hypotheses concerning shape have been developed. The goal of this is to provide participants with a working knowledge of the theory of geometric morphometrics,…
Find out more »Multivariate analysis of ecological communities in R with the VEGAN package (VGNR02) FREE ACCOMMODATION AVAILABLE
Course Overview: This 5-day course will cover the concepts, methods, and R tools that can be used to analyse community ecology data. The course will review data processing techniques relevant to multivariate data sets. We will cover diversity and null-model analysis, distance measures and distance based multivariate methods, clustering, classification, and dimension reduction techniques using the vegan R extension package. We will use real world data sets to motivate the analyses, e.g. describing patterns along environmental or anthropogenic disturbance gradients,…
Find out more »November 2019
Behavioural data analysis using maximum likelihood in R (BDML02)
Course Overview: This 5-day course will involve a combination of lectures and practical sessions. Students will learn to build and fit custom models for analysing behavioural data using maximum likelihood techniques in R. This flexible approach allows a researcher to a) use a statistical model that directly represents their hypothesis, in cases where standard models are not appropriate and b) better understand how standard statistical models (e.g. GLMs) are fitted, many of which are fitted by maximum likelihood. Students will…
Find out more »Geostatistics – Handling Spatial and Spatial-temporal data Using R (GSFE01)
Course Overview: This 5-day course will cover the concepts, methods, and R tools that can be used to analyse spatial and spatiotemporal data through Geostatistic. The course will review data processing techniques relevant to spatial and spatiotemporal data sets. Following, we will cover spatial interpolation methods such as inverse distance weighted interpolation as well as simple, ordinary and universal kriging, sequential Gaussian (co)simulation and sequential indicator (co)simulation. Through these different interpolation methods, we will learn about the different types of…
Find out more »January 2020
R 4 ALL (Andrew Beckerman & Dylan Childs) (R4LL01) FREE ACCOMMODATION AVAILABLE
Course Overview PR Statistics has partnered with R4ALL (www.r4all.org) to offer an introductory course to R, RStudio and statistics for Biologists. Based on their best-selling book, “Getting Started with R, An Introduction for Biologists”, this course provides training in the R statistical and programming language for data management, visualisation, and analysis. The R4All team, with more than 20 years experience delivering this course, will boost you up the initial learning curve, streamline your data management and analysis workflows, and give…
Find out more »February 2020
Introduction to spatial analysis of ecological data using R (ISPE02) FREE ACCOMMODATION AVAILABLE
Course overview: The aim of the course is to introduce you to a spatial data processing, analysis, and visualization capabilities of the R programming language. It will teach a range of techniques using a mixture of lectures, computer exercises and case studies. By the end of the course participants should: Understand the basic concepts of spatial data analysis Know R’s spatial capabilities Understand how to import a range of spatial data sources into R Be confident with using R’s command-line…
Find out more »Movement ecology (MOVE03)
Course Overview: The course will cover the concepts, technology and software tools that can be used to analyse movement data (from ringing/CMR to VHF/GPS to novel biologging data) in ecology and evolution, covering analysis techniques applicable broadly to most taxa, from micro-organisms to plants and animals. We will cover elementary and advanced analysis and modelling techniques broadly applicable across taxa, highlighting the advantages of a unified Movement Ecology framework. We will provide the necessary bases in ecology (especially behavioural ecology),…
Find out more »April 2020
ONLINE COURSE – Introduction to Bayesian hierarchical modelling using R (IBHM04) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. Course Overview: This course will cover introductory hierarchical modelling for real-world data sets from a Bayesian perspective. These methods lie at the forefront of statistics research and are a vital…
Find out more »May 2020
ONLINE COURSE – Python for data science, machine learning, and scientific computing (PDMS02) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional…
Find out more »ONLINE COURSE – Species Distribution Modelling using ‘Fuzzy Logic’ to address gradual patterns in species distribution and diversity (FLDD01) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. Please feel free to email oliverhooker@psstatistics.com with any questions, full course detials below. Course Overview: Live beings are constantly in motion and occur with varying frequency across space. Hence, categorical…
Find out more »Structural Equation Modelling for Ecologists and Evolutionary Biologists (SEMR03) POSTPONED
Course Overview: The course is a primer on structural equation modelling (SEM) and confirmatory path analysis, with an emphasis on practical skills and applications to real-world data. Structural equation modelling is a rapidly growing technique in ecology and evolution that unites multiple hypotheses in a single causal network. It provides an intuitive graphical representation of relationships among variables, underpinned by well-described mathematical estimation procedures. Several advances in SEM over the past few years have expanded its utility for typical ecological…
Find out more »ONLINE COURSE – Introduction to spatial analysis of ecological data using R (ISPE03) This course will delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Central European Summer Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an…
Find out more »ONLINE COURSE – Introduction to R for ecologists and evolutionary biologists (IRFB03) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional…
Find out more »ONLINE COURSE – Ecological niche modelling using R (ENMR04) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Summer Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an…
Find out more »ONLINE COURSE – Generalised Linear (MIXED) (GLMM), Nonlinear (NLGLM) And General Additive Models (MIXED) (GAMM) (GNAM01) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional…
Find out more »June 2020
ONLINE COURSE – Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM06) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional…
Find out more »ONLINE COURSE – Introduction to R for ecologists and evolutionary biologists (IRFB04) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional…
Find out more »ONLINE COURSE – Reproducible Data Science using RMarkdown, Git, R packages, Docker, Make & Drake, and other tools (RDRP01) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Western European Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional…
Find out more »July 2020
ONLINE COURSE – Applied Bayesian modelling for ecologists and epidemiologists (ABME06) This course will be delivwered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE – Central European Summer Time - however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an…
Find out more »ONLINE COURSE – Species Distribution Modeling using R (SDMR02) This course will be delivered live
This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak. This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential. TIME ZONE –Eastern Daylight Time - 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…
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