STATISTICA Training, Course Offerings

StatSoft offers an introductory STATISTICA course as well as advanced courses. Click on a class title for its detailed description. Read the Schedule for United States Courses. Note: Courses are designed for Windows users.

Introductory Courses

These courses are designed to introduce the participant to some of the basic data management, graphical, and statistical tools in STATISTICA; also an excellent refresher course.

  • Introduction to STATISTICA - A one-day course with instruction on how to take advantage of the numerous data management and graphical tools in STATISTICA.
  • Basic Statistics - A one-day course that covers the basic building blocks of statistics and provides users with an understanding of the tools used in STATISTICA for basic statistics and understanding methods.

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.

  • 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.
  • Advanced Statistics  - This one-day course will build on the Basic Statistics course with advanced topics of General Linear Models, Survival Analysis, and Generalized Linear Models. 
  • 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 Automated 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.

 

Introduction to STATISTICA

 

Objectives

  • To provide users with an understanding of the general conventions, data management, and graphics capabilities of STATISTICA.
  • To offer users hands-on instruction in data management, displaying output results, and creating and customizing graphs.
  • 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 one-day course is designed to instruct the student on how to take advantage of the numerous data 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), 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

Data Management

  • Creating, modifying, and saving data
  • Importing data from other applications
  • File structure manipulation

Graphics

  • Creating graphs
  • Customizing graphs
  • Brushing techniques

Automation

  • Introduction to Analysis Macros
  • Introduction to Master Macros

 

Basic Statistics

 

Objective

To provide participants with an overview of basic statistics and introduce them to the statistical capabilities in STATISTICA Basic Statistics & Tables, STATISTICA Multiple Regression, STATISTICA ANOVA, and STATISTICA Nonparametrics.  Emphasis is on both use of STATISTICA and understanding methods.

Contents

This one-day course covers the tools involved with basic statistics including:

  • Descriptive statistics
  • Correlations
  • t-Tests
  • Nonparametrics
  • Simple ANOVA and regression

 

Statistical Process Control

 

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., Cp, Cpk)

 

Design of Experiments

 

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

 

Multivariate Analysis

 

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

 

Advanced Statistics

 

Objective

This one-day course is designed to introduce the participants to different types of analyses that are based on advanced models and that are used in a wide area of applied statistics.

Regression Analysis

  • Multiple regression analysis
  • Model build techniques including stepwise and best subset regressions
  • Checking model assumptions and residual analysis

ANOVA

  • Repeated Measures ANOVA
  • Nested Designs 
  • Analysis of Covariance (ANCOVA)
  • Multivariate ANOVA (MANOVA)

Variance Components

  • Mixed Effects Models

Survival Analysis

  • Life Tables
  • Cox Proportional Hazard

Generalized Linear Models

  • Distributions and link functions
  • Model building
  • Interpretation of results and diagnostics

 

STATISTICA Data Miner

 

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.

 

STATISTICA Automated Neural Networks

 

Objectives

  • 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.

 

STATISTICA Visual Basic

 

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.

Description

STATISTICA is the first statistical software package to achieve complete integration with an industry standard programming language. Class participants 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:

Creating Visual Basic macros from the interactive program

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

Customizing recorded macros with Visual Basic

  • 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

Specialized Advanced topics

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

 

STATISTICA Enterprise

 

Objective

To introduce the user to using STATISTICA Enterprise.

Description

This one-day course covers all aspects of STATISTICA Enterprise, including:

  • Configuring user permissions
  • Database connectivity and querying
  • Types of analyses
  • Alarms
  • Configuring reports
  • Automatic scheduling of analysis