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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. Please feel free to email oliverhooker@psstatistics.com with any questions, full course detials below. Course Overview: This course will cover introductory hierarchical modelling for real-world data sets from a Bayesian perspective.…
Find out more »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. Please feel free to email oliverhooker@psstatistics.com with any questions, full course detials below. Course Overview: Python is one of the most widely used and highly valued programming languages in the…
Find out more »ONLINE COURSE – Generalised Linear (MIXED) (GLMM), Nonlinear (NLGLM) And General Additive Models (MIXED) (GAMM) (GNAM02) 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: This course provides a general introduction to nonlinear regression analysis, covering major topics including, but…
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
Course Overview: This course provides a comprehensive introduction to doing reproducible data analysis, which we define as analysis where the entire workflow or pipeline is as open and transparent as possible, making it possible for others, including our future selves, to be able to exactly reproduce any of its results. We cover this topic by providing a thorough introduction to a set of R based and general computing tools such as RMarkdown, Git & GitHub, R packages, Docker, Gnu Make…
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