University of Hertfordshire Statistical Services and Consultancy Unit
http://go.herts.ac.uk/sscu

*** APRIL UPDATE *** APRIL UPDATE *** APRIL UPDATE ***

We are pleased to be able to offer places on the following courses.

For further details of these (and other) courses, fees and an application form, please see below and at http://go.herts.ac.uk/sscu (click on "Short Courses in Statistics" at the web site).

STARTER COURSE IN STATISTICS
This course is aimed at all who need to learn about the very basics of analysing, presenting statistical data and questionnaire design. No prior knowledge of statistics is assumed. Anyone who needs to deal with data in their work should be able to participate fully.

ONE-DAY COURSE IN SAS PROGRAMMING

This course is aimed at programmers or statisticians with some knowledge of SAS or those new to SAS and transferring from another statistical package. It is suited to anyone who wishes to develop a knowledge of SAS programming. No prior knowledge of statistics is required. Anyone whose work would involve them using SAS should be able to participate fully.

ESSENTIAL DATA ANALYSIS
This course is aimed at all who have groups in their data that need to be compared and contrasted or who need to examine their data for relationships that may or may not exist, whether the data come from a survey, experiment or elsewhere, and covers topics in hypothesis testing, simple and multiple regression.

INTERMEDIATE/REFRESHER COURSE IN STATISTICS
This is a course aimed at all who wish to improve their competence and confidence in analysing data from surveys and experiments. You are encouraged to bring your own data for discussion/analysis. It is assumed that delegates on this course will have a knowledge of probability, the Normal distribution and hypothesis testing. Those whose experience of these topics is some time in the past should find sufficient reminders given to enable them to participate fully.

HIGHER COURSE IN STATISTICS
This course is aimed at those with a working knowledge of statistics who wish to learn about or improve their competence and confidence in using more advanced methods of analysing data. You are encouraged to bring your own data for discussion/analysis. It is assumed that delegates on this course will have a knowledge of probability, the Normal distribution, hypothesis testing and regression techniques. Those whose experience of these topics is some time in the past should find sufficient reminders given to enable them to participate fully.

INTRODUCTION TO MULTILEVEL MODELLING

This course is aimed at those researchers whose data have a hierarchical structure such as pupils grouped in schools, patients grouped within GP practices, etc. For this sort of data, traditional regression methods are inappropriate because the assumption of independence of cases is violated. This course will introduce participants to the use of multilevel modelling for continuous responses, including the package MLwiN. It is assumed that delegates on this course will have a knowledge of traditional regression techniques.

FURTHER MULTILEVEL MODELLING

This course carries on from the Introduction to Multilevel Modelling course and concentrates on models for more complex outcomes such as binary and ordinal responses. The package MLwiN is again used. It is assumed that delegates on this course have a knowledge equivalent to having attended the Introduction to Multilevel Modelling course.

PRACTICAL BUSINESS FORECASTING: A FIRST COURSE

This course is aimed at all who need to learn about the role played by forecasting in modern business. It teaches the practical use of the most common forecasting methods and subsequent presentation of results to a business audience.

PRACTICAL BUSINESS FORECASTING: A FURTHER COURSE

This course teaches the practical use of the more commonly used extended/advanced forecasting techniques which will enhance the quality of business forecasts in both the public and private sectors.

Details of fees, discounts, etc. are available by clicking on "Short Courses in Statistics" at the web site http://go.herts.ac.uk/sscu.

If you have any questions about our courses or any other service we offer, please contact me.

Dr Neil H. Spencer
Director of Statistical Services and Consultancy Unit

=======================================================================
Dr Neil H. Spencer
Principal Lecturer in Statistics
Director of Statistical Services and Consultancy Unit

Business School, University of Hertfordshire,
de Havilland Campus, Hatfield,
Hertfordshire, AL10 9AB, U.K.

Statistical Services and Consultancy Unit Contact Details:
Telephone: +44 (0) 1707 285574; Fax: +44 (0) 1707 285455
E-mail: [log in to unmask]; WWW: http://go.herts.ac.uk/sscu

Personal Contact Details:
Telephone: +44 (0) 1707 285529; Fax: +44 (0) 1707 285455
E-mail: [log in to unmask]; WWW: http://go.herts.ac.uk/NeilSpencer
=======================================================================

getstats - A society in which our lives and choices are enriched by an understanding of statistics.

Go to http://www.getstats.org.uk for more information.

=======================================================================