See below for details of training courses at the Royal Statistical Society in the coming months. Just click on any of the course titles below to find out further information on content and how to book your place.
Consultancy SkillsDate: 7 & 8 MarchPresenters: Roland Caulcutt & Julie BullenLevel: Foundation
This is a highly participative and fun two day training course for statisticians who wish to improve their ability to help non-statistical clients. Discussions and interactive exercises will allow participants to explore the non-statistical issues that can undermine effective consultancy.
Introduction to Bayesian Statistics *Date: 20 & 21 MarchPresenter: Richard MoreyLevel: Foundation
Bayesian statistics has become a standard approach for many applied statisticians across a wide variety of fields due to its conceptual unity, clarity, and practical benefits. However, because training in Bayesian methods is often not a standard part of research curricula, benefits of Bayesian statistics have been slower to reach applied researchers. This two-day course aims to provide a working knowledge of Bayesian statistics for interested researchers.
Identifying Trends and Making Forecasts *Date: 4 & 5 AprilPresenter: Nigel MarriottLevel: Foundation
This two day foundational course illustrates the basic practice for summarising and measuring trends as well as the best methods to extrapolate trends into a forecast.
Introduction to R & Regression Modelling in R *Date: 16 & 17 MayPresenter: Paul BaxterLevel: Foundation
The purpose of this course is to introduce participants to the R environment for statistical computing. Day 1 of the course focuses on entering, working with and visualising data in R. Day 2 focuses on regression modelling in R, including linear, general linear, logistic and survival models.
Statistics of financial markets *Date: 18 MayPresenter: Steve BellLevel: FoundationThis course looks at real financial market data and shows how it differs from the idealised models based on Gaussian statistics. The implications of this for standard market risk measures such as VaR will be explored. Alternative risk measures such as AVaR and stressed VaR will be introduced.
Introduction to Python *Date: 23 & 24 MayPresenter: Robert MastrodomenicoLevel: Foundation
This course is intended to be an Introduction to the Python programming language. Through the use of taught material and practical examples, participants will build up the skills needed to perform data analysis using Python.
*Early bird discounts available
For further information about these or any of our other courses please visit our website or contact training.