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

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

Comparing Groups (1 day): 6th Feb 2008
Relationships in Data (1 day): 20th Feb 2008
Survey Design and Sample Size (1 day): 5th March 2008
Practical Business Forecasting (2 days): 18th-19th March 2008
Strategic Modelling (2 days): 18th-19th March 2008
One-Day Course in R (1 day): 18th March 2008
One-Day Course in SAS Programming (1 day): 19th March 2008
Starter Course in Statistics (2 days): 10th-11th June 2008
Essential Data Analysis (2 days): 17th-18th June 2008
Intermediate/Refresher Course in Statistics (3 days): 24th-26th June 2008
Higher Course in Statistics (2 days): 1st-2nd July 2008

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" at the web site).


COMPARING GROUPS
This course is aimed at all who have groups in their data that need to be compared and contrasted, whether the data come from a survey, experiment or elsewhere, and covers topics in hypothesis testing.

RELATIONSHIPS IN DATA
This course is aimed at all 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 the topics of simple and multiple regression.

SURVEY DESIGN AND SAMPLE SIZE
This course is aimed at all who need to design surveys, covering the topics of good survey design, sample size determination and power.

PRACTICAL BUSINESS FORECASTING
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.

STRATEGIC MODELLING
This course is aimed at people who make decisions in business. It covers the decision making methodologies known as "Systems Thinking" which represents problems as systems and then analyses these such that appropriate actions and solutions are determined.

ONE-DAY COURSE IN R
This course is aimed at people who are interested in using R: a freely-available computer package for statistics used by professional statisticians. The command language used by R is very similar to that used by S-PLUS, and this course also acts as an introduction to the command language used by this package. No prior knowledge of statistics is required. Anyone whose work would involve them using a statistics package 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.

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.

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.


Details of fees, discounts, etc. are available by clicking on "Short Courses" 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


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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 285410
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 285410
E-mail: [log in to unmask]; WWW: http://go.herts.ac.uk/NeilSpencer
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