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Advanced Black Belt Tools


Programme Overview

This 3-day course covers advanced techniques which will enable you to discover and understand the factors and factor-interactions which drive process performance in almost any business environment.

Virtual Open Classroom

£946 (plus VAT)

In-Company Training

Group Discount

Advanced Black Belt ToolsThis course is the final statistical tools module of Black Belt training and is based on Minitab software.

The course builds on the statistical toolset covered in the previous modules and adds advanced techniques which will enable you to discover and understand the factors and factor-interactions which drive process performance in almost any business environment.


Topics include:

  • Design of Experiments
  • General Linear Model
  • Logistic Regression
  • Non-parametric hypothesis tests
  • Seasonal data

Pre-requisites

  • You will need to have a high level of competence with Minitab and statistical tools equivalent to attending
    • Process Measurement using Minitab and Data Analysis using Minitab

or

  • Data Driven Insight and Decisions and Further Process Measurement and Analysis Technique

or

  • Further Process Measurement and Analysis Techniques (2)

 

  • You do not need to have completed Yellow or Green Belt prior to attending this course
  • You will need previous knowledge of Hypothesis Testing and Regression

Follow-on Options

  • Lean Six Sigma Black Belt Certification
  • Lean Six Sigma for Innovation and Design (Design for Lean Six Sigma)
  • Master Black Belt
  • Anyone who needs to learn the application of advanced tools to data analysis. Engineers, business analysts, quality professionals, scientists, business consultants
  • Green Belts who have completed intermediate level statistical training and are now working towards Black Belt
  • This course is one of the five modules required to complete Black Belt training
  • You will be able to use advanced statistical tools to analyse challenging business problems (Black Belt level)
  • Many of the tools taught on previous stats modules will be reviewed so your confidence in these will be enhanced
  • You will be able to support others in the use of statistical tools

Virtual Open Classroom – 3 days 

The training delivery format is a set of 3 consecutive days.

The programme is delivered live over Zoom by our experienced Master Black Belt instructors.  We use a wide variety of techniques to create an engaging, participative and fun experience for the learners. 

Support Pack 

Prices include comprehensive training materials and access to online learning resources.

We are currently delivering all of our Open Programmes remotely.

See Virtual Open Classroom

Once restrictions are lifted we will be able to resume face-to-face delivery and provide training at our London, Birmingham and Edinburgh venues once again.

In-company classroom  

For more than 4 delegates attending the same programme this is the most cost effective option.

The programme can be delivered on-site or virtually.

The sessions will be bespoke, lively and interactive delivering a memorable learning experience for the delegates.

We will discuss your objectives prior to the delivery, and help you to plan the most effective delivery and support to your team of delegates.

Consecutively or spread out over half-days sessions. Whatever is most convenient to you!

Prerequisite

To attend this course delegates need to have completed the following 2 courses:-

Data Driven Insights and Decisions

Further Process Measurement and Analysis Techniques

Contents

  • General Linear Model – ANOVA with 2 or more factors
  • Main Effects and Interactions, co-variates
  • Model building and validation
  • Transforming data for robustness
  • 1 sided tests and 1 sample tests
  • Non-Parametric Hypothesis Tests
  • Regression model with continuous and discrete Xs
  • Transforming data to improve the model
  • Introduction to stepwise and best subsets regression
  • Single and Multiple Binary Logistic Regression
  • Ordinal Logistic Regression
  • Full Factorial and Fractional Factorial Experiments
  • Planning and Designing the experiment – blocking, randomising and replication, practical considerations
  • Analysing the Experiment – plots, residuals analysis, reducing the model
  • Using the final model – response optimiser, predictions
  • Detecting small shifts quickly
  • Modelling long term seasonal patterns and trends

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Discover Our Advanced Black Belt Tools Programme for Yourself

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Forthcoming Public Advanced Black Belt Tools Events

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