StatSoft offers both introductory and advanced training courses in the United States and overseas. Public training courses
and customized on-site training are available. StatSoft's training classes offer:

In addition, StatSoft offers custom development services. All courses and services are offered in the US, Canada, and overseas (from StatSoft subsidiaries, see London, UK; Paris, France; Melbourne, Australia; Taipei, Taiwan; Hamburg, Germany; Padova, Italy; Tokyo, Japan; Krakow, Poland; Uppsala, Sweden; Alges, Portugal; Seoul, Korea; Groningen, Netherlands; Moscow, Russia; Sao Paulo, Brazil; Tel-Aviv, Israel; Spain; South Africa; Singapore, Singapore; Prague, Czech Republic).

Course Offerings
On-Site Training
Training Course Schedules
Custom Application Development
Registration Information

Click on class title for a detailed description.

Introductory Course - This course is designed to introduce the participant to some of the basic statistical tools in STATISTICA; also an excellent refresher course.

• Introduction to STATISTICA - A two-day course with instruction on how to take advantage of the numerous data management, statistical, and graphical tools in STATISTICA.

Advanced Courses - The following courses are designed to enhance knowledge and understanding of advanced statistical tools in STATISTICA. A working knowledge of STATISTICA is required.

• Statistical Process Control - A one-day course that provides users with an understanding of the tools offered in STATISTICA for SPC.

• Design of Experiments - A one-day course that provides users with an understanding of the tools offered in STATISTICA for DOE.

• Multivariate Analysis - A one-day course with instruction in multivariate analytical methods, including MANOVA, Discriminant Function Analysis, Factor Analysis, and Canonical Correlation.

• ANOVA and Regression - This one-day course is designed to introduce the participants to different types of analyses that are based on the General Linear Model and that are used in a wide area of applied statistics.

• STATISTICA Data Miner - A two-day course designed to provide participants with the concepts and experience necessary to begin solving data exploration, data preparation, analytical modeling, and model deployment problems using STATISTICA Data Miner.

• STATISTICA Automated Neural Networks - This one-day course is designed to provide the participants with the concepts and experience necessary to begin solving problems with neural networks analysis using STATISTICA Neural Networks.

• Visual Basic Applications in STATISTICA - This one-day course, designed for the user familiar with STATISTICA and the fundamentals of Visual Basic programming, will introduce the STATISTICA Object Model, which captures the functionality of the interactive program with more than 14,000 functions accessible through Visual Basic.

Note: Courses are designed for Windows users.

Objectives

• To provide users with an understanding of the general conventions, data management, basic statistics, and graphics capabilities of STATISTICA.
• To offer users hands-on instruction in data management, basic statistics, and creating and customizing graphs.
• To provide participants with an overview of fundamental statistical concepts in an applied setting.
• To expose participants to the graphical methods available for exploring data and supporting statistical analysis.
• To provide users with expert tips on how to optimize the use of STATISTICA.

Description

This two-day course is designed to instruct the student on how to take advantage of the numerous statistical and graphical tools available in STATISTICA. Step-by-step examples will be presented on how to enter and manipulate data (including importing from other file formats such as spreadsheets), perform complete statistical analyses and interpret tabular and graphical results, and create and customize many graph types. The user will be advised on how to optimize the use of STATISTICA. The final part of the course will be devoted to questions from participants.

General Conventions

• User-interface
• Customization options
• Creating reports, documents (OLE)

Data Management

• Creating, modifying, and saving data
• Importing data from other applications
• Using Windows features: DDE, Clipboard
• File structure manipulation

Statistics

• Descriptive Statistics
• t-Tests
• Correlations
• Frequency Tables
• Cross-Tabulations

Graphics

• Creating graphs
• Customizing graphs
• Brushing techniques
• Curve-fitting

Automation

• Introduction to Keyboard Macros
• Introduction to Analysis Macros

Questions & Answers

Material: Training Workbook

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Objective

To provide participants with an overview of SPC fundamentals and to introduce them to the SPC capabilities in STATISTICA Quality Control Charts and STATISTICA Process Analysis.

Contents

This one-day course covers the statistical tools involved in SPC including:

• Gage Repeatability and Reproducibility Analysis
• X-Bar and R/S/S² Charts
• CUSUM Charts
• X and Moving Range Charts
• Attribute Charts
• Moving Average (MA) and Exponentially Weighted Moving Average (EWMA) Charts
• Pareto Analysis
• Process Capability Analysis (e.g., C_p, C_pk)

Objective

To provide participants with an overview of the terms, concepts, and methods involved with generating and analyzing experimental designs and to introduce the participants to the DOE capabilities in STATISTICA Design of Experiments.

Contents

This one-day course covers the fundamental concepts and statistical tools involved in DOE including:

• Advantages and disadvantages of various design types (e.g., factorial and fractional factorial designs, central composite designs, etc.)
• Interpreting tabular and graphical results
• Concepts involved in generating and analyzing designed experiments
• Analysis of residuals
• Introduction to the simultaneous optimization of multiple response variables

Objective

To introduce participants to the several multivariate analytical methods available in STATISTICA.

Canonical Correlation

• Analysis of relationships between sets of variables
• Determining number of significant canonical roots/variates
• Interpreting canonical roots/variates

Cluster Analysis

• Computing distances
• Joining (hierarchical clustering)
• k-Means Clustering

Discriminant Analysis

• Assessing discriminatory power
• Analyzing nature of discrimination numerically and graphically
• Modeling prediction of group membership

Factor Analysis

• Component vs. Factor Models
• Rotation methods
• Confirmatory Factor Analysis

Objective

This one-day course is designed to introduce the participants to different types of analyses that are based on the General Linear Model and that are used in a wide area of applied statistics. Exposure to these techniques will also help to understand related statistical concepts such as Experimental Design or gage R&R studies.

Analysis of Variance (ANOVA)

• One-Way ANOVA
• Multi-Way ANOVA
• Complex designs
• Analysis of Covariance (ANCOVA)

Regression Analysis

• Standard Analysis
• Stepwise Regression Techniques
• Verifying Assumptions/Residual Analysis

Variance Components

• Introduction to variance components

Objectives

• To provide participants with a conceptual overview of data mining and its many facets
• To develop familiarity with STATISTICA Data Miner's interactive analytical environment
• To introduce participants to STATISTICA Data Miner's large selection of models for statistical learning and their application to various types of real-world problems
• To provide experience using STATISTICA Data Miner's project workflow environment
• To demonstrate how STATISTICA Data Miner can be used to solve common data mining problems such as data preparation, variable selection, deployment of trained models, and more.

Description

This two-day course is designed to provide participants with the concepts and experience necessary to begin solving data exploration, data preparation, analytical modeling, and model deployment problems using STATISTICA Data Miner. The course will focus on providing hands-on experience with the different ways in which each of these problems can be solved using this powerful software tool. For each topic, step-by-step examples will be presented.

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• To provide a conceptual overview of neural networks
• To demonstrate the usefulness and the advantages of neural networks analysis
• To provide hands-on experience solving regression, classification, clustering, data reduction, and time series problems using STATISTICA Automated Neural Networks

Description

This one-day course is designed to provide the participants with the concepts and experience necessary to begin solving problems with neural networks analysis using STATISTICA Automated Neural Networks. The course will focus on using this powerful software tool to solve regression, classification, clustering, data reduction, and time series problems. For each topic, step-by-step examples will be presented.

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Objective

This one-day, advanced course, designed for users familiar with STATISTICA and with the fundamentals of Visual Basic programming, will introduce the STATISTICA Object Model, which captures the functionality of the interactive program with more than 14,000 functions accessible through Visual Basic. The course will begin by using Visual Basic macros that can be automatically recorded when performing interactive analyses in STATISTICA and will proceed (using examples and exercises) through applying successively more detailed modifications to those macros to achieve sophisticated custom applications.

STATISTICA is the first statistical software package to achieve complete integration with an industry standard programming language. Class particpants will see firsthand how essentially the entire functionality of STATISTICA is now available to the Visual Basic programmer for inclusion in custom applications and for automating analyses performed in the interactive program.

Topics covered in the course will include:

• Analysis type macros
• Master macros
• Keyboard macros
• Controlling output
• STATISTICA Object Model

• Implementing simple changes to increase macro flexibility
• Modifying output control
• Adding custom user interfaces (including creating and implementing user dialogs and forms, variable selection dialogs, custom toolbars, etc)
• Subroutines, Functions, Classes, and Objects
• Addressing and implementing Object Model elements and options not represented in automatically recorded macros
• Debugging using the STATISTICA Visual Basic editor

• Document-level and Application-level events
• Creating your own external DLLs
• Running STATISTICA Visual Basic programs from other applications
• Review of advanced macro examples

Registration forms need to be accompanied by a check, qualified company purchase order, or major credit card in order to reserve your place in the course. As class size is limited, early registration is advised. You can register from this Web site (see Training Registration) or by requesting a registration form from our Technical Services Department (e-mail: training@statsoft.com).

If you are unable to attend your scheduled session, substitutions or transfers may be made up to 2 weeks prior to the start of the course, but we ask that you notify us as soon as possible. If a cancellation is made up to 3 weeks prior to the class start date, the registration fee is fully refundable. Cancellations 2 to 3 weeks before the class are subject to a cancellation fee of 50% of the tuition. Registrants who cancel less than 2 weeks prior to the course are liable for the entire fee. Scheduled courses are subject to cancellation. StatSoft reserves the right to cancel a course up to two weeks prior to the first day of the course.

Cost

Cost for the two day seminar (Introduction to STATISTICA) is $800. Cost for the one day seminars (SPC, DOE, ANOVA and Regression, Multivariate Analysis, Neural Networks, and Graphical Data Analysis) is $400. These costs are for courses held in the United States; overseas prices vary (please contact the appropriate StatSoft office for more information).

CEU Credits

StatSoft, Inc. awards Continuing Education Units (CEUs) to each participant who successfully completes our training courses. The CEU is a nationally recognized unit of measure for continuing education and training programs that meet certain criteria. Participants who attend 90% of the course will be eligible for CEUs. A CEU is defined as ten contact hours of participation in an organized continuing education experience under responsible sponsorship and qualified instruction. A Certificate of Completion will be issued to each participant who completes the program. A permanent record of each individual's completion will remain on file with StatSoft, Inc.

Accommodations

For information concerning lodging or training locations, please contact StatSoft at (918) 749-1119 or training@statsoft.com. All training locations are handicapped accessible.

Dress

Casual attire.

• Curriculum. Customized training by STATISTICA experts. The topics to be covered are tailored to meet your specific needs; this means more time devoted to the topics in which you are most interested.
• Held at your convenience and location; Individual or Groups. On-Site training can be scheduled to accommodate your specific needs. By training at your location, you save transportation and lodging expenses.
• More Information. Contact StatSoft at (918) 749-1119 or training@statsoft.com for scheduling and cost information.

Custom applications of STATISTICA can be developed using STATISTICA Visual Basic for both turn-key applications and special/customized extensions to the STATISTICA system. These applications can be developed to run within the STATISTICA program or as front-end interfaces to STATISTICA (i.e., via external languages such as Visual Basic). Click here for more details.

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