> Do you deal with statistics in the financial or retail world?
> Would you like some training in data mining, time series forecasting or
> other topics?
> Have a look below at some of the courses in the RSS's Professional
> Development Centre's current programme.
>
> ***** RSS Professional Development Centre - Training Courses *****
>
> Data Mining for Practioners, Andrea Ahlemeyer-Stubbe, 14th December 2007
> The increasing use of computer technology in many areas of economic,
> scientific and social life is resulting in collections of digital data.
> These data pools could be used to obtain a higher quality of information
> than that obtained from simple database inquiries. This is where Data
> Mining comes in. With Data Mining techniques it is possible to "mine" data
> pools for "hidden " knowledge. Data mining gives you a major competitive
> advantage in view of the key role played by knowledge and knowledge
> management in the development of future markets.
> Write Clearly: Write to be Understood, Tony Greenfield, 28-29 January 2008
> Do you write about your work to show how clever you are? Or do you write
> about your work because you want to tell people about something that will
> interest them, and perhaps help them? Do you write only for academic
> journals in your own discipline, or do you write for the wider population
> of scientists and engineers, or even for the general population? In this
> hands-on workshop we shall discuss the writing of research work for
> different media and for different readerships. It provides the opportunity
> to discuss and develop your current work, as delegates are encouraged to
> send in or bring along a current article to work on with the presenter.
> An Introduction to Time Series Forecasting, Robert Sollis, March 2008
>
> This one-day course offers an introduction to time series forecasting.
> The course will explain how to forecast time series using univariate and
> vector statistical time series model, and how to evaluate the forecasts
> obtained to help decide on the best forecasting specifications to be used
> in practice. The most well-known time series models will be covered
> including autoregressive moving average (ARMA) models, vector
> autoregressive (VAR) models, vector error correction models (VECM), and
> nonlinear time series models (e.g. threshold autoregressive models).
> Recently developed statistical procedures for evaluating the accuracy and
> information content of forecasts will also be discussed.
>
> Presenting Data, Ed Swires-Hennessy, 13th March & 18th September 2008
> This one day course is the foundation to all presentations of statistical
> information. The basic principles of presenting information in tables,
> charts, maps and text are explained. These are illustrated and then
> reinforced through practical exercises. The course is for anyone who is
> involved in communicating statistics to non-statisticians or who reports
> on data - of any description - within organisations, to specific
> communities and to the general public where a message is being given.
> Cointegration Models in Statistics and Econometrics, Robert Sollis,
> September 2008
> This advanced level short course deals with the econometric modelling of
> cointegrated time series. The course focuses in detail on both the
> Engle-Granger approach to modelling cointegrated time series and the
> Johansen vector-based approach. Testing for cointegration will be
> comprehensively discussed. Recent extensions including nonlinear
> cointegration models and cointegration in the presence of structural
> breaks will also be covered.
> Relevant statistical theory so as to fully understand the concept of
> cointegration will be explained, however the course will also focus on how
> to apply cointegration models to actual data and numerous empirical
> examples will be used throughout. Many of these will be from economics
> and finance although examples from other subject areas will be used.
> Please visit www.rss.org.uk/courses <www.rss.org.uk/courses> to register
> or to obtain further details of courses available by the RSS Professional
> Development Centre.
>
> We look forward to receiving your registrations.
>
> Kind regards
>
> Ali Houghton
> RSS PDC Training Co-ordinator
>
> RSS Professional Development Centre
> Tel: +44 (0)1625 504067 Fax: +44 (0)1625 267879
>
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