We are announcing four courses, which are scheduled to take place in
September and October 2005. Summary information is given below.
For more detailed information and registration forms please see
http://www.ssc.rdg.ac.uk providing your address and/or fax number or
email [log in to unmask]

Microsoft Access for Data Management: A Hands-on Approach
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Date: 19-21 September 2005. Duration: 3 days. Price: 245 GBP per day;
690 GBP for all 3 days.

This course is about taking full advantage of Microsoft Access. People who
deal with large volumes of data, data with complex structures, who need to
ensure quality control, data integrity, and who need to manage data
efficiently, use database management systems. One of the most commonly
used is Microsoft Access.

If you deal with large or complex datasets; if you are looking to improve
the quality of your data; if you want to save time and effort in the long
term - then this course is for you.

Good Tables with Microsoft Excel, and more
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Date: 22-23 September 2005. Duration: 2 days. Price: 245 GBP for 1 day;
460 GBP for both days.

Tables are a very useful tool for summarising large amounts of data both at
the exploratory and presentation stage.

Excel's extensive facilities for tabulation are called Pivotal Tables, built
by a Wizard, interactively customised and dynamically linked to pivot
charts. This course explains the construction and manipulation of pivot
tables. An optional second day takes tabulation further by adding many
common topics needed for survey data. This makes use of the Instat+
statistical package, which is freely available to course participants.

A Review of Basic Statistics
^^^^^^^^^^^^^^^^^^^^^^^
Dates: 3-4 October 2005. Duration: 2 days. Price: 460 GBP (Fee of 690
GBP for attending this course together with Regression Analysis: A Hands-
on Approach (3-5 October)).

This course builds up the basic ideas of statistics systematically and
quickly. It provides an introduction to methods of summarising and
presenting data, estimation, confidence intervals and hypothesis testing.
Mathematical details will be kept to a minimum. A wide choice of
statistical software is available for practical work.

Regression Analysis: A Hands-on Approach
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Date: 5 October 2005. Duration: 1 day. Price: 245 GBP.
(Fee of 690 GBP for attending this course together with A Review of Basic
Statistics (3-5 October)).

Regression is a powerful technique for studying relationships between
quantitative variables. Summarising relationships by the most appropriate
equation (modelling) is very quick when using a statistical package. It is
also easy to progress from basic models to more complex situations, such as
comparison of regressions.

This course gives a practical introduction to regression techniques.