MathSoft Announces:
Data Analysis for Finance
2 Day Course: 17-18 February, 2000, RSS, London.
The S-PLUS Data Analysis for Finance course is designed
to provide a solid foundation to programming in S-PLUS.
Beginners can benefit from this course to get up and
running in S-PLUS, whilst experienced users can
consolidate and extend their existing knowledge.
The course concentrates on data analysis using the
S-PLUS command line. We explore the existing tools in
S-PLUS for data analysis, the powerful and flexible
graphical functions and common statistical procedures.
Above all, the course provides a grounding in the
fundamentals of the S language, enabling you to
extend S-PLUS's functions to suit your needs.
Course Contents:
Data Objects
Introducing formats and structures used by S-PLUS
to store and handle financial time series data
* Modes, Attributes and Classes
* Vectors, Matrices, Lists, Data Frames
* Factors and Ordered Factors
Data Input and Output
Learn how to import data from proprietary databases
(e.g. Sybase, Oracle), flat files (e.g. Excel), and
financial data vendors (e.g. Bloomberg, Fame). Text Files
* Reading a Vector
* Reading a Data Frame
* Importing Other File Formats and Databases
* Exporting S-PLUS Objects as Other File Formats
* Writing Objects to Text Files
Functions and Operators
Familiarise yourself with S-PLUS syntax for data
manipulation & financial calculation
(e.g. calculating returns, volatilities).
* Calling an S-PLUS Function
* Object Orientation: Classes and Methods
* Arithmetic Operators
* Logical Operators
* Operator Precedence
* Vectorizing Calculations
Writing Functions
Learn how to easily modify and add to the 4,000 functions
already available in S-PLUS to create custom applications.
* Basic Structure
* Editing Functions
* Arguments
* Interacting with the User
* Vector Tricks
* Object Oriented Programming
* Customized Graphical User Interface
* Writing Help Files
* Distributing Functions
Graphics
Learn how to generate publication quality graphics
using S-PLUS's unique graphical analysis features.
* Graphics Devices
* High-Level Graphics Functions
* Graphics Parameters
* Trellis Graphics
Statistical Models
An introduction to statistical modelling in S-PLUS,
including examples for modelling volatilities and
Monte Carlo methods for options pricing.
* Organizing the Data
* Exploratory Data Analysis
* Specifying Formulas
* Fitting a Model
* Producing Diagnostic Plots
* Fitting Alternative Models
* Comparing Models
Attend this two day course and learn:
* How to analyse data in S-PLUS
* How to grpahically explore your data
* How to fit statistical models to your data
* The fundamentals of the S programming language
For furhter information and registration forms:
http://www.mathsoft.co.uk/splus/main/courdatafin.htm
or
Tel: +44 (0)1276 475 350
email: splus@mathsoft.co.uk
Yours,
Geoff
Dr Geoff Pegler
MathSoft International
Knightway House
Park Street
Bagshot
Surrey GU19 5AQ
United Kingdom
Tel: +44(0)1276 45 22 99 x221
Fax: +44(0)1276 45 12 24
Email: gpegler@mathsoft.co.uk
URL: http://www.mathsoft.co.uk/splus
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