This course has now taken place.
A highly developed understanding of using statistical models can help your organisation monitor and improve its performance.
This Advanced Statistical Analysis course has been specially designed to help those with a background in statistics to understand and use more advanced statistical models, to make better sense of their data and help improve your organisation’s performance.
By attending this Advanced Statistical Analysis course, gain a better understanding of the concepts behind advanced statistics; learn how to apply the Bayesian model and utilise more complex statistical methods, such as non-linear curves and hypothesis testing to make greater sense of your organisation’s data.
Through highly interactive workshops, you will practice using R programming on public sector datasets, which will help you utilise more advance statistical methods to improve your organisation’s performance.
NB: Please can delegates bring their own laptops.
|About the Chair: Robert Grant
|Robert Grant is a trainer, coach and writer on statistics and working in data science, especially data visualisation and Bayesian models.
He taught statistics and research methods to postgraduate clinical research students at St George’s Medical School and Kingston University (2010-2017), and contributed to many health services and biomedical research projects in this time. His freelance clients include Harvard Medical School, The Economist, and the Cabinet Office.
He is a fellow of the Royal Statistical Society and served on their statistical computing committee from 2012-16. He worked on clinical audits, analysing hospital quality and safety indicators, at the Royal College of Physicians (1998-2010), then joined and later chaired the NHS England committee overseeing such audit projects. During this time he also contributed project management and statistical advice and analysis to six guidelines published by the National Institute for Health and Care Excellence (NICE).