Next Training Course (R for Analytics) is July 2018
R for Analytics
Date: 16th & 17th July, 2018
Location: Dublin 2
Aim
This course is designed for those who wish to carry out deeper analyses of their data using statistical models and machine learning methods. Participants should have a grounding in R. The course covers classical modelling (Linear Models, GLMs, Multivariate Analysis), modern statistical methods (Text Mining, Nonlinear Modelling, Bayesian Analysis), and machine learning (both individual methods and combining groups of methods). The course includes new developments in R: specialist mapping tools and Simple Features for spatial analysis, the tidyverse, and integrated and reproducible research using rmarkdown.
R offers a wide selection of modelling tools through its package system. If a new model is introduced in the research literature, it has very likely already been published in R. New (and old) packages need to be checked and evaluated and this is an important aspect of using R that runs through the whole course.
Participants are encouraged to bring their own datasets to work on in the hands-on sessions, which will be tailored to reflect their interests.
R for Analytics
Day 1: Statistical Methods with R
- Linear Modelling
- Multivariate Analysis
- Machine Learning
- Text Mining
Day 2: Advanced Modelling with R
- Deep Learning
- Maps and Spatial Analysis
- Bayesian Modelling
- R Modelling Case Studies
or
Enquire About this Course
The Course Team
Prof Dr Antony Unwin
MA MSc PhD, Director & Statistician
InsightscProf. Antony Unwin – Antony is a Director of Insight Statistical Consulting and former professor of computer-oriented statistics and data analysis at the University of Augsburg (formerly of Trinity College Dublin). He is a fellow of the American Statistical Society, co-author of the book “Graphics of Large Datasets”, and co-editor of the “Handbook of Data Visualisation”. His research focuses on data visualisation, especially in interactive graphics. Antony is author of the book “Graphical Data Analysis with R” published in 2015 by CRC Press and has written two R packages himself. See his blog on comparing outlier detection methods with the OutliersO3 package on Revolutions here.
The Course Team
Louis Aslett
PhD, Statistician
InsightscDr Louis Aslett delivers R training courses throughout the year for Insight. He completed his PhD in Mathematical Statistics from Trinity College Dublin in 2012 and is currently an Assistant Professor in the Department of Mathematical Sciences at Durham University. Before that he spent 4 years in a pure research role in Chris Holmes’ group at the University of Oxford and as Junior Research Fellow at Corpus Christi College. He is author of several R packages and is also the maintainer of freely available RStudio server AMIs for easy and rapid deployment of R into the Amazon cloud service.