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.
Getting Started with Stats
21st Oct 2009, 27th Jan 2010
Comparing Groups
4th Nov 2009, 10th Feb 2010
Relationships in Data
25th Nov 2009, 24th Feb 2010
Survey Design & Analysis for Quality Results:
Internet, Paper & Phone
2nd Dec 2009, 17th Mar 2010
Sample Size - How Many Do I Need?
9th Dec 2009, 24th Mar 2010
Practical Business Forecasting: A First Course
17th-18th Nov 2009
13th-14th Jul 2010
Practical Business Forecasting: A Further Course
19th Nov 2009, 15th Jul 2010
One-Day Course in SAS Programming
8th June 2010
Starter Course in Statistics
9th-10th June 2010
Essential Data Analysis
16th-17th June 2010
Intermediate/Refresher Course in Statistics
22nd-24th June 2010
Higher Course in Statistics
29th-30th June 2010
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).
GETTING STARTED WITH STATS
This course is aimed at all who need to learn about the very basics of analysing and presenting statistical data. No prior knowledge of statistics is assumed. Anyone who needs to deal with data in their work should be able to participate fully.
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 & ANALYSIS FOR QUALITY RESULTS: INTERNET, PAPER & PHONE
This course is aimed at all who need to design surveys, covering the topics of good survey design and internet surveys as well as the more traditional paper and phone methods.
SAMPLE SIZE - HOW MANY DO I NEED?
This course is aimed at those who need to collect data and face the problem of deciding how many cases/participants they need in their study.
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.
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 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
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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]<mailto:[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]<mailto:[log in to unmask]>; WWW: http://go.herts.ac.uk/NeilSpencer
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