R for Analytics
Statistical Training Courses Dublin, Ireland
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). R offers a wide selection of modelling tools through its package system. 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.
The course is instructor-led with regular practical exercises where you will work with the data, and seek advice from experienced R practitioners in an online environment. In-person courses will resume in good time.
Please register your interest in this course, or reserve your place, by emailing David at firstname.lastname@example.org or clicking the button below – we will revert at the earliest opportunity. Class size is small with two highly qualified and experienced instructors – see below for further information.
The cost of the two-day course is €900 for commercial attendees and €700 for academic attendees, including course notes.
PROGRAM – The Course will take place from 9am to 5pm each day
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
Prof Dr Antony Unwin
MA MSc PhD, Director & Statistician
Prof. 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.
Prof. 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.
Prof. Louis Aslett
BA (Mod), PhD
Please register your interest and we will notify you when the next course is scheduled