StatSoft specialises in providing training in applied statistics and data analysis. The courses we organise are suitable for anyone who wishes to gain or widen his/her knowledge of statistical methods, practical applications of data analysis, as well as software from the STATISTICA family.

Course	Date	Spaces
Introduction to STATISTICA	February 9, 2010	n/a
Statistical Process Control Methods	February 10, 2010	available
Design of Experiments (DOE)	February 11, 2010	available
Introduction to STATISTICA (2 day)	March 16-17, 2010	available
Regression Methods	March 18, 2010	available
Visual Basic Primer	April 20, 2010	available
STATISTICA Visual Basic (2 day)	April 21-22, 2010	available
Basic Statistics Primer	May 11, 2010	available
Introduction to STATISTICA	May 12, 2010	available
Analysis of Stability Data	May 13, 2010	available
Exploring, Understanding and Presenting Data	June 8, 2010	available
Introduction to STATISTICA	June 9, 2010	available
Linear Modelling	June 10, 2010	available
STATISTICA Data Miner	July 13, 2010	available
Introduction to Data Mining Methods (2 day)	July 14-15, 2010	available

Place
Courses will take place in our dedicated training room in Bedford (convenient connections to London and Birmingham).

Price
Cost per person is £375 for a one-day course and £675 for a two-day course. Course fees include printed course material, lunches and refreshments but exclude VAT and local accommodation.

Discounts are available for groups, academic customers and bookings of 3 days or more.

Booking
Please check course availability by telephone on +44 (0) 1234 341226 or by e-mail: . You can also use our Training Request Form.

Other courses
Please note that we can also run on-site courses or additional courses in Bedford for groups interested in a particular course. Please contact us to discuss your requirements in detail.

StatSoft offers a wide range of training courses covering various data analysis methods and reflecting the diverse applications of data analysis in business, industry, research and administration.

Clients benefit from individual training sessions in which attention can be focused on only those issues that are directly relevant to the client company. They are based on our standard course programmes or special programmes, each designed to address specific client requirements. They can also be based on data provided by participants, if required. We are also able to design and deliver courses on aspects of data analysis that are not included in the courses listed here.

In many of our courses STATISTICA programs are used as a tool allowing easy and rapid access to required results, while the courses deal mainly with data analysis methods and interpretation of the results obtained. We also provide training focusing on the functions and capabilities of STATISTICA systems, if required.

Courses can either take place in the customer's premises or in our training facility. We like to keep group numbers to a minimum to ensure effective learning and close contact between trainer and trainee. Rather than relying exclusively on formal lecture-style instruction, the courses use a mix of taught material and a workshop-style sessions focusing on practical problems and tasks. Participants are given the opportunity to "learn by doing" with the trainer on-hand to answer questions and help with the interpretation of results.

A wide range of organisations have benefited from our on-site courses, including:

...and many more

Our trainers have many years of experience across a wide range of application areas, so we can provide courses on other data analysis methods and applications not listed here. Please contact us to discuss your requirements.

Please click here to book a place on one of our training courses.

Introduction to STATISTICA

The best way to help your team to really exploit the power of STATISTICA for their day-to-day statistical and graphical data analysis needs. The course is designed to provide a kick-start for new users and help them to get into good habits from the start, but even experienced users will discover new tricks and find their use of the software is enhanced. This course comes in one-day and two-day versions, either of which provide the ideal foundation for the more advanced STATISTICA courses described below. Introduction to STATISTICA 1-day course General Conventions Program Overview User Interface Using Windows features (drag & drop, clipboard operations, etc.) Data Management Creating, modifying and saving data files Importing data from other applications Different data types (text, numeric, etc.) Graphics Overview of graph types Creating and customising graphs Exploratory graphical tools Output Management Using Workbooks Creating Reports Sending output to other Windows applications Introduction to STATISTICA 2-day course Covers all material included in the 1-day course, plus: Basic Statistical Methods Descriptive statistics t-tests and ANOVA Correlations and Linear Regression Frequency Analysis and Cross-tabulation Non-parametric Methods Automation & Customisation Recording SVB Macros Customising the STATISTICA Interface The STATISTICA Visual Basic Development Environment

Exploring, Understanding and Presenting Data

Do any of these thoughts sound familiar? We've got the results of our customer survey but I'm not sure what to do with them We need to understand the trends and patterns in these sales figures I really need to know how to produce more attractive and persuasive presentations of my data Too much data, too little knowledge! Each and every day, data in various forms come at us from news media, web-sites, questionnaires and surveys, experiments, databases, financial reports and more. This one-day course is designed to enable you to make the most of your own data, learn how to produce persuasive presentations and how to convert raw data into real knowledge to support your decision-making. The course will cover topics such as... understanding different types of data how to describe and summarise data how to create informative and persuasive graphical presentations vital dos and don'ts of presenting data how to understand and interpret other people's data (and how not to get the wool pulled over your eyes) how to avoid seeing patterns that aren't really there This course is suitable for anyone who needs to handle or present data of any kind. No previous knowledge of data analysis methods or software is assumed. See also Basic Statistics Primer

Basic Statistics Primer

This is an ideal introduction for those new to statistics or those wishing to brush up on their statistical knowledge. STATISTICA will be used as an aid on this course, but no prior use or knowledge of the software will be assumed. Therefore, unlike our other courses, having access to STATISTICA is not a prerequisite for attending this course. Types of data (continuous, discrete, ordinal) Summary/descriptive statistics (measures of centrality and spread, frequency analysis, summary graphs) Common statistical assumptions Parameter estimation and confidence intervals Hypothesis testing (null and alternative hypotheses, p-values, Type I & II errors) See also Exploring, Understanding and Presenting Data

Statistical Process Control Methods

This course provides an overview of the most important SPC methods and introduces the participants to some of the facilities available in the Quality Control Charts and Process Analysis modules of STATISTICA. SPC Fundamentals Process Capability Analysis Gauge Repeatability & Reproducibility Quality Control Charts for variables and attributes See also Six Sigma Courses

Design of Experiments (DOE)

This one-day course provides an overview of the terms, concepts and methods of experimental design and analysis, while introducing participants to the facilities available in the STATISTICA DOE module. The course can also be extended over two days to include a more detailed discussion of the subject and practical exercises for the complete DOE experience. Fundamental DOE Concepts & terminology Designing and analysing experiments Overview and comparison of standard design types (Fractional Factorial, Central Composite, Mixture designs, Taguchi, etc.) See also Six Sigma Courses

Analysis of Stability Data

This course is designed to provide a thorough understanding of the statistical and graphical methods most commonly used for the analysis of data from stability studies and the estimation of shelf life (or retest period) for pharmaceutical and other products. Practical exercises will make use of STATISTICA and each participant will receive a free one-month evaluation copy of the software if required. No previous knowledge of the statistical methods is assumed. Overview of statistical requirements in ICH guidelines Introduction to Linear Regression Using linearising transformations Estimation of shelf life using confidence/prediction limits Single Factor, Multi-Batch Studies Introduction to General Linear Models Testing for Poolability of batches Introduction to Multi-factor Studies (Bracketing & Matrixing Designs) This one-day course can be delivered on-site for groups of participants and a two-day version can be arranged to include more advanced topics and/or analysis examples using your own study data. Please contact us to discuss your requirements in detail.

Linear Modelling

This course provides an introduction to the General Linear Model and the family of modules in STATISTICA that make use of this technology. It is ideal for those with a knowledge of simple regression and ANOVA, who wish to go beyond these methods and build more complex models for analysis and prediction. The General Linear Models approach to AN(C)OVA and Regression Models Handling continuous and categorical predictors Using Quick Specs dialogs and the Analysis Syntax Editor Link functions and non-Normal error distributions Stepwise regression methods Response profiling for simultaneous optimisation of multiple response variables See also Regression Methods

Regression Methods

This course is designed for users with a basic knowledge of correlation and regression (as covered, for example, on our two-day introductory course), who need a more detailed understanding of general and advanced regression methods. Review of correlation & simple linear regression Multiple regression analysis Least squares estimation of parameters Standard errors, significance testing & interval estimation Assessing the regression model Stepwise & best-subsets regression Prediction from regression models The General Linear Model Categorical predictors & interaction terms Non-linear curve-fitting See also Linear Modelling

Visual Basic Primer

Our standard SVB course (below) is most appropriate for experienced programmers or those who have some knowledge of VB/VBA in other applications. For complete beginners, this one-day primer will help to get you started and is designed to immediately precede our two-day SVB course. Programming basics Algebraic and logical operators Built-in text and numeric functions Program flow - conditions and loops Arrays User-defined Subroutines & Functions This course is also suitable for anyone wanted to get started with Visual Basic programming in Excel or other Microsoft Office applications.

STATISTICA Visual Basic (SVB)

STATISTICA is unique amongst all of its competitors in including a fully compatible version of Visual Basic designed specifically for the most demanding statistical and graphical applications. This course introduces participants to programming for automation and customisation using SVB and assumes some knowledge of general programming principles. The second day of this course includes the opportunity to start work on a programming project of your own, under the supervision of the course tutor. General conventions (VB syntax, the SVB editor, Object Browser, debugging tools) Working with macros (recording, editing, customising & running) Customising toolbars and menus Creating custom dialogs Customising output (workbooks, reports, graphs, spreadsheets) Integration with Office applications (Word, Excel, etc.) Using event macros See also Visual Basic Primer

STATISTICA Data Miner

This course provides an introduction to the components that make STATISTICA Data Miner the most powerful and comprehensive package in its class. Once they have a firm grounding in the technology available to them, delegates will be fully equipped to get started on their own data mining projects. Courses covering some or all of the advanced analytical methods included in the software can also be arranged. The STATISTICA Data Miner interface Building Data Miner projects Using the Node Browser Editing existing nodes and creating new nodes Using the In-place Database Processor (IDP)

STATISTICA Enterprise Systems

This course is designed for users of STATISTICA Enterprise systems and can be structured to fill one, two or more days by including material for system administrators and/or users with varying levels of expertise. General overview & components of the system The system database User and group administration Session Manager & System View OLE DB profiles for connection to external databases Introduction to SQL Automated analysis and reporting

Six Sigma Statistics Courses

We offer a full range of courses designed to provide training in the statistical methods commonly taught on Six Sigma green and black belt courses. These courses are particularly suitable for smaller organisations who wish to benefit from the application of Six Sigma methods but who do not have the infrastructure to support a full-scale corporate Six Sigma programme. Each of the components listed below is designed as either a half-day or one-day module and can 'mixed and matched' to fit in with your requirements. Graphical Methods Pareto Diagrams Histograms Run Charts Scatterplots Box Plots Cause and Effect diagrams Statistics and Distributions Shape (distribution) of the process data Centering of the process data Spread (variation) of the process data Statistical Process Control Attribute data Cp and Cpk indices Pp and Ppk indices PPM and sigma level Handling non-Normal data Measurement Systems Analysis Stability, accuracy, and precision Linearity %R&R and P/T Ratio indices Designing & analyzing the study General Data Analysis Methods Discrete & continuous data Basic tests, confidence intervals, and assumptions Analysis of variance Correlation and regression Non-parametric methods Design of Experiments Full-factorial designs and analysis Fractional screening designs and analysis Central composite designs Mixture designs Taguchi designs