November 2020
ONLINE COURSE – Introduction to mixed models using R and Rstudio (IMMR03) This course will be delivered live
Course Overview: In this two day course, we provide a comprehensive practical and theoretical introduction to multilevel models, also known as hierarchical or mixed effects models. We will focus primarily on multilevel linear models, but also cover multilevel generalized linear models. Likewise, we will also describe Bayesian approaches to multilevel modelling. On Day 1, we will begin by focusing on random effects multilevel models. These models make it clear how multilevel models are in fact models of models. In addition,…
Find out more »ONLINE COURSE – Bayesian hierarchical modelling using R (IBHM05) This course will be delivered live
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 tool in the scientist’s toolbox. The course focuses on introducing concepts and demonstrating good practice in hierarchical models. All methods are demonstrated with data sets which participants can run themselves. Participants will be taught how to fit hierarchical models using the Bayesian modelling software Jags and Stan through the R…
Find out more »December 2020
ONLINE COURSE – Introduction to Scientific, Numerical, and Data Analysis Programming in Python (PYSC01) This course will be delivered live
Course Overview: Python is one of the most widely used and highly valued programming languages in the world, and is especially widely used in data science, machine learning, and in other scientific computing applications. In order to use Python confidently and competently for these applications, it is necessary to have a solid foundation in the fundamentals of scientific, numerical, and data analysis programming Python. This two day course provides a general introduction to numerical programming in Python, particularly using numpy,…
Find out more »ONLINE COURSE – Machine Learning and Deep Learning using Python (PYML01) This course will be delivered live
Course Overview: Python is one of the most widely used and highly valued programming languages in the world, and is especially widely used in machine learning and for deep learning. In this two day course, we provide an introduction to machine learning and deep learning using Python. We begin by providing an overview of the machine learning and deep learning landscape, and discuss the prominent role that Python has come to play in this area. We then turn to machine…
Find out more »ONLINE COURSE – Nonlinear Regression using Generalized Additive Models (GAMR01) This course will be delivered live
Course Overview: This course provides a general introduction to nonlinear regression analysis using generalized additive models. As anM introduction, we begin by covering practically and conceptually simple extensions to the general and generalized linear models framework using polynomial regression. We will then cover more powerful and flexible extensions of this modelling framework by way of the general concept of basis functions, which includes spline and radial basis functions. We then move on to the major topic of generalized additive models…
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