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Subject:

Courses in Statistics, R, SAS and DoE: University of Hertfordshire

From:

Neil H Spencer <[log in to unmask]>

Reply-To:

Neil H Spencer <[log in to unmask]>

Date:

Fri, 16 Dec 2005 15:06:36 -0000

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text/plain (137 lines)

University of Hertfordshire Statistical Services and Consultancy Unit
http://www.herts.ac.uk/business/centres/sscu
We are pleased to be able to offer places on the following courses.

Introductory Courses in Statistics:
"Getting Started with Stats" (1 day): 25th January, 3rd May

"Starter Course in Statistics" (2 days): 19th to 20th June

Courses in Data Analysis:
"Comparing Groups" (1 day): 8th February, 10th May
"Relationships in Data" (1 day): 25th January, 17th May

"Essential Data Analysis" (2 days): 21st to 22nd June
"Intermediate/Refresher Course in Statistics" (3 days): 26th to 28th June
"Higher Course in Statistics" (2 days): 17th to 18th July

Specialist Courses:
"Survey Design and Sample Size" (1 day): 8th March, 28th May
"One-Day Course in R" (1 day): 28th March
"One-Day Course in SAS Programming" (1 day): 29th March
"Introduction to the Design and Analysis of Experiments" (1 day): 20th April


For further details of these (and other) courses, fees and an application
form, please see below and at
http://www.herts.ac.uk/business/centres/sscu
(click on "Short Courses" 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.

STARTER COURSE IN STATISTICS
An expanded version of our "Getting Started with Stats" course,
incorporating presentation of data and questionnaire design.

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.

ESSENTIAL DATA ANALYSIS
This course combines our two one-day courses "Comparing Groups"
and "Relationships in Data."

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.

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.

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.

INTRODUCTION TO THE DESIGN AND ANALYSIS OF EXPERIMENTS
This course will be of interest to everyone who wants to be able to
identify the important factors influencing a process. It will show how,
with a minimum of experimentation, the important factors can be
identified from a list of possible factors, how knowledge of the important
factors can be used to predict process behaviour and how
recommendations for process optimisation can be obtained. No prior
knowledge of statistics is required. Anyone whose work would involve
the topics covered in this course should be able to participate fully.


Details of fees, discounts, etc. are available by clicking on "Short
Courses" at the web site
http://www.herts.ac.uk/business/centres/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 285410
E-mail: [log in to unmask]
WWW: http://www.herts.ac.uk/business/centres/sscu

Personal Contact Details:
Telephone: +44 (0) 1707 285529; Fax: +44 (0) 1707 285410
E-mail: [log in to unmask]
WWW: http://www.herts.ac.uk/business/staff_public/nhspencer_public
===================================================================

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