The ability to extract information from data is increasingly important in all areas of research and is an essential part of
evidence based decision making in the world of big data. The aim of the course is provide an interactive experience for
researchers from a variety of disciplines to enable them to use data science and statistical techniques to answer questions
in their own research.

The course will include both traditional style presentations and ‘hands-on’ computer practical sessions in which participants
will be guided through the analysis of a series of case studies from a number of different disciplines. These practical sessions
will involve training in R, a free software environment for statistical computing and graphics. During the last decade, the
momentum coming from both academia and industry has lifted R to become the single most important tool for statistics,
visualisation and data science. Participates will learn how to get their data into R, get it into the most useful structure,
transform it, visualise it and model it.

The course will be delivered in Ulaanbaatar Mongolia between 20th-24th November 2016 by a team of statisticians and
data scientists from University of Bath. The presenters are Gavin Shaddick, Daniel Simpson, Matthew Thomas, Aoibheann
Brady, Robbie Peck and Adwaye Rambojun.

The slides, practical sheets, and other relevant resources can be found below.