Course Descriptions (Flyers)

This page contains a list of all our current training flyers for download.

Most of our courses are available in a range of proprietary software including EyeOpenR, Minitab, JMP and XLStat. If you don't see what you need, please contact us here.

Sector Ref. Flyer Brief description
GENERAL GEN0-0 How to Communicate Statistical Concepts This workshop discusses common problems and issues in explaining statistical results.
GENERAL GEN0-1 Essential skills for Statisticians, Programmers & Scientists This course will focus on what this means for statisticians, programmers and scientists outside the technical aspects of their role.
GENERAL GEN0-2 Introduction to Bayesian Methods This one day course gives those unfamiliar with Bayesian methods the insight and confidence to decide whether Bayesian analysis could add something to their current data analysis methods.
Sector Ref. Flyer Brief description
SENSORY SEN1-0 Basic Statistics Training Course Program (Non-software based) To enable participants to understand statistics reports/presentations, and interpret what they see correctly to make informed decisions, rather than carry out analysis themselves.
SENSORY SEN1-1 Analysis of Sensory data using SenPAQ© This short course covers the basics of how to use SenPAQ to perform popular techniques for analysing sensory and consumer data, and then understanding and interpreting the output.
SENSORY SEN1-2 Maximising the value of your data using EyeOpenR® This course covers the easy to use features in the recently launched new EyeOpenR® software for investigating, visualising and performing common statistical techniques on data sets typical to sensory research plus other applications.
SENSORY SEN1-3 Statistics for Sensory Analysis We offer training in three one day modules, any one of these can be run on its own or combined with the other modules into a two or three day training course.
SENSORY SEN1-4 Introduction to Statistics using R This course aims to familiarize you with the R environment, and will give you freedom in running statistical analyses in R.
Sector Ref. Flyer Brief description
CONSUMER CON2-0 Statistics for Consumer Research Training is in three, one day modules. These can be run on their own or combined with the other modules. Modules cover key statistical techniques used in the analysis of data collected in consumer research studies to compare products or brands.
CONSUMER CON2-1 Introduction to Bayesian Network Analysis for Market and Consumer Research This one-day workshop gives an introduction to Bayesian Networks and their application to data from consumer and market research.
CONSUMER CON2-2 Experimental Design for Product Reformulation, Optimisation and Preference Modelling This course provides hands-on training in experimental design (DoE) for researchers and new product developers who need to understand how product components work together to influence consumers and to optimise performance characteristics.
Sector Ref. Flyer Brief description
MARKET RESEARCH MAR3-0 Market Research Statistical Toolkit This training covers techniques widely used in market research. Focus is on interpretation of the analyses.
MARKET RESEARCH MAR3-1 Making sesne of Multivariate Methods for Market Research This training explains the purpose of each technique, how to interpret the statistical outputs and the data structures required. We illustrate the use of the techniques using case studies.
MARKET RESEARCH MAR3-2 Introduction to Bayesian Network Analysis for Market and Consumer Research This one-day workshop gives an introduction to Bayesian Networks and their application to data from consumer and market research.
Sector Ref. Flyer Brief description
MANUFACTURING MAN4-0 Basic Statistics Training Course Program (Non-software based) Aim of the course is to enable participants to understand statistics reports/presentations, and interpret what they see correctly to make informed decisions, with the ability to ask the right questions, rather than routinely carry out analysis themselves.
MANUFACTURING MAN4-1 Experimental Design for Process Development and Improvement The aim of the course is to introduce attendees to the benefits of statistical experimental design.
MANUFACTURING MAN4-2 Process Capability Workshop We offer this training to enable the understanding of statistical process capability measures (Cp, Cpk, etc) and to interpret capability analysis outputs.
MANUFACTURING MAN4-3 Essential and Advanced Statistics for Manufacturing R&D We aim to explain the objectives of the techniques and to send you away with a better understanding of which technique to use when and how to run these in the MINITAB software package.
MANUFACTURING MAN4-4 Statistic Fundamentals for Research & Industry Using Statistical Software This basic but wide-ranging course covers the easy to use features in statistical software for investigating, visualising and performing basic statistical techniques on data sets typical to research and industry settings.
Sector Ref. Flyer Brief description
BUSINESS BUS5-0 Basic Statistics Using EXCEL Learn how to use EXCEL Pivot tables to cross tabulate data and how to display it graphically, as well as interpret the graphs.
BUSINESS BUS5-1 Modeling Trends and Forecasting for Business Analysis We offer training in one day to provide an understanding of statistical regression methods, simple forecasting methods and their application.
Sector Ref. Flyer Brief description
R&D RND6-0 Statistics Fundamentals for Research & Industry Using Statistical Software This basic but wide-ranging course covers the easy to use features in statistical software for investigating, visualising and performing basic statistical techniques on data sets typical to research and industry settings.
R&D RND6-1 Experimental Design for Process Development and Improvement The aim of the course is to introduce attendees to the benefits of statistical experimental design and to use statistical software to both design and analyse experiments.
R&D RND6-2 Process Capability Workshop We offer this training to enable the understanding of statistical process capability measures (Cp, Cpk, etc) and to interpret capability analysis outputs.

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