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Training Request Form
Special Data Mining Methodology courses
StatSoft Ltd Training Services
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 programs from the STATISTICA family.
Training course organisation
StatSoft offers a wide range of training courses concerning 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 our standard course offer.
Most of the courses we offer do not focus on the functions of STATISTICA software. Instead 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. However, we do provide training on the functions and capabilities of STATISTICA systems, if required.
Courses can either take place in the customer's premises or in our well-equipped 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 on formal lecture-style
instruction, the courses are based on a workshop approach focusing on practical problems and tasks. Participants are asked to work
through prepared examples while the trainer supervises and explains how to properly interpret the results obtained.
A wide range of organisations have benefited from our on-site courses, including: Axalto, Ball Packaging, BMW UK, Cranfield University,
Coca Cola Bottlers, The Countryside Council for Wales, GlaxoSmithKline, Hollister, Identex, ICI Paints, Johnson Matthey Catalysts,
Merck Sharp & Dohme, Pace Micro Technology, Rolls Royce, Sandvik Hard Materials and many more.
Please contact us to discuss your requirements in detail.
Core training courses
Introduction to STATISTICA
Basic Statistics Primer (Statistics for non-statisticians)
Statistical Process Control Methods
Design of Experiments
Linear Modelling
Regression Methods
Visual Basic Primer
STATISTICA Visual Basic
STATISTICA Data Miner
STATISTICA Enterprise
STATISTICA Enterprise/QC
Six Sigma Statistics
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 request information about our training courses.
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| Introduction to STATISTICA |
This is 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 STATISTICA users
will discover new tricks and find their use of the software is enhanced. This course provides the best foundation for the other courses listed 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
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| 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)
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| 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
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| 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
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| 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
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| 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
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| Visual Basic Primer |
Our standard SVB course (below) is 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
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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
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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)
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STATISTICA
Enterprise Systems |
This course is designed for users of STATISTICA Enterprise systems and can be structured to fill
one or two 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
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| 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
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Overview
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