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As the competition has increased, there was a sudden need to emphasise on time-cycle improvement in businesses and reduce manufacturing defects to a minimum level. The necessity to retain clients and sustain business products and services was also an emerging issue.

With the efforts of Motorola in 1986, the Six Sigma technique was developed to reduce the defects to a minimum level of 3.4 per million. The defects are found first and then focuses on reducing all the errors in a short span of time along with improved variability in manufacturing and business processes. Pentagon Training will help delegates to get out of these pre-defined paths and achieve Six Sigma levels which range from white to black belt.

Who should take this course

The following category of professionals are included in the course list who can get benefit from taking the course:

  • Companies and their managements for implementing Six Sigma.
  • Project Managers to complete projects of extreme importance.
  • Quality Assurance Engineers to explore and improve the quality.
  • Team members of Software Quality Assurance.
  • Audit managers to manage reviews of various companies.
  • Security professionals to implement policies judicially.
  • Senior Management for the purpose of managing the tasks efficiently.
  • Management students for learning the benefits of using various methodologies.
  • Team leaders for supervising the teams correctly.
  • Software Professionals to develop high-quality software after applying techniques to manage variability.


Certain requirements should be fulfilled before becoming the Six Sigma Black Belt professional and get six sigma certification. These include:

  • Delegates require carrying two complete projects with signed affidavits, or
  • One whole project with a signed affidavit and three years of work experience in one or more areas of the Six Sigma Black Belt body of knowledge.

What Will You Learn

Once the course is complete delegates will become familiar with fundamentals of Six Sigma Black Belt and how to apply it to the business processes.

  • Accomplish the team dynamics efficiently and at a faster pace.
  • Concluding projects and handling over control to process owners.
  • Presenting these projects to instructors, peers and managers.
  • Measuring various problems for achieving project success.
  • Applying different Lean concepts like 5S, waste reduction, process mapping, value stream mapping and mistake proofing.
  • Understand the working with multiple levels of leadership.
  • Read advanced statistical analyses to define the relationship between the primary inputs and process outputs and apply more basics to it.
  • Using various controlling techniques for cost benefit analysis

What's included

  Course Overview

Six Sigma relates to an ideology of improvement in several statistics which forms a part of business process. According to Six Sigma, qualitative extents should take a step forward for getting over qualitative indicators. It will help in achieving the credibility that supports and enhances the work performances by different employees.

It applies to all industries and vendors who want to attain elevation in various belts of Six Sigma. Six Sigma experts include all those business people who use statistics, financial analysis and project management for achieving improved business functions.

It supports the creation of a unique infrastructure of individuals who are expert in applying the set of quality control methods like empirical method and statistical method. The Six Sigma professional follows a series of steps with the complete consignment of specific value objectives to each step.

Exam Info:

Exam Type: Multiple Choice Question

Duration: 90 minutes

Pass Percentage: 45


  Course Content

The following details are included in the course content and will enable the delegates to upgrade their level of learning:


  • Overview of Six Sigma
    • What is Six Sigma?
    • History of Six Sigma
    • Y = f(x) Approach
    • Methodology
    • Roles & Responsibilities
  • Fundamentals of Six Sigma
    • Define Process
    • VOC & CTQ’s
    • QFD
    • Cost of Poor Quality
    • Pareto (80:20 rule)
  • Projects of Lean Six Sigma
    • Six Sigma Metrics
    • Business Case & Charter
    • Project Team Selection
    • Project Risk Management
    • Project Planning
    • The Seven Deadly Muda
    • Five-S (5S)


  • Process Definition
    • Cause & Effect Diagrams
    • Cause & Effects Matrix
    • Process Mapping
    • FMEA
    • Theory of Constraints
  • Process Capability
    • Analysis of Capability
    • Stability Concept
    • Attribute Capability
    • Discrete Capability
    • Monitoring Techniques
  • MSA
    • Precision & Accuracy
    • Bias, Linearity & Stability
    • Gage R&R
    • Variable & Attribute MSA
  • Six Sigma Statistics
    • Basic Statistics
    • Descriptive Statistics
    • Distributions & Normality
    • Graphical Analysis


  • Variation Patterns
    • Multi-Variable Analysis
    • Classes of Distributions
  • Inferential Statistics
    • Understanding Inference
    • Sampling
    • Sample Size
    • Central Limit Theorem
  • Hypothesis Testing
    • Hypothesis Testing Goals
    • Statistical Significance
    • Risk; Alpha & Beta
    • Types of Hypothesis Test
  • Hyp-Tests: Normal Data
    • One and Two Sample t-tests
    • One Sample Variance
    • One Way ANOVA
  • Hyp-Tests: Non-Normal Data
    • Mann-Whitney & Mood’s Median
    • Kruskal-Wallis
    • Moods Median
    • Friedman
    • 1 Sample Sign
    • 1 Sample Wilcoxon
    • 1 and 2 Proportion
    • Chi-Squared
    • Test of Equal Variances


  • Simple Linear Regression
    • Correlation
    • X-Y Diagram
    • Regression Equations
    • Residuals Analysis
  • Multiple Regression
    • Non-Linear Regression
    • Multiple Linear Regression
    • Confidence Intervals
    • Residuals Analysis
    • Box-Cox Transformation
    • Stepwise Regression
    • Logistic Regression
  • Designed Experiments
    • Research Objectives
    • Experimental Methods
    • DOE Considerations
  • Full Factorial Experiments
    • 2k Full Factorial Designs
    • Linear & Quadratic Models
    • Orthogonal Designs
    • Model & Center Points
  • Fractional Factorials
    • Designs
    • Confounding Effects
    • Preliminary Resolution


  • Lean Controls
    • Control Methods for 5S
    • Kanban
    • Poka-Yoke
  • SPC
    • Data Collection for SPC
    • I-MR Chart
    • Xbar-R Chart
    • U Chart
    • P Chart
    • NP Chart
    • X-S chart
    • CumSum Chart
    • EWMA Chart
    • Control Methods
    • Control Chart Anatomy
    • Variation & Sampling
    • Control Limits
  • Planning for Six Sigma Control
    • Cost Benefit Analysis
    • Control Plan Elements
    • Response Plan

Six Sigma Black Belt Enquiry


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Reach us at +44 1344 961530 or info@pentagonit.co.uk for more information.

About Stoke-on-Trent

Stoke-on-Trent is a city in Staffordshire, England. It ranges from 36 square miles. Stoke is polycentric, having been molded by an association of six towns in the early 20th period. It reached its name from Stoke-upon-Trent, where the railway station and the town hall are situated. The four other payments are Burslem, Tunstall, Longton and Fenton.


Stoke-on-Trent is situated about half-way between Birmingham and Manchester. It links the town and area of Newcastle-under-Lyme. The city located on the higher hill of the River Trent at the south-west foothills of the Pennines, ranging from 106 to 213 meters (350 to 700 ft.) above sea level. The city is measured to be the southernmost end of the Pennines, restricted by the plains of the Midlands to the south, counting the Cheshire Plain deceitful west of Newcastle. The Peak District National Park lies straight to the east and comprises part of the Staffordshire Moorlands District, as well as parts of Derbyshire, Greater Manchester and West and South Yorkshire.


Stoke-on-Trent, as with all of the United Kingdom, practices a temperate nautical weather, missing in weather limits. The local area is comparatively raised due to its nearness to the Pennines, subsequent in cooler temperatures year round likened to the nearby Cheshire Plain. However, on calm, clear nights this is frequently upturned as cold air drainage reasons a temperature overturn to occur. As such, the Stoke-on-Trent and Newcastle area are not vulnerable to plain frosts. The nearest Met Office weather station is Keele University, about four miles west of the city centre.

The absolute high temperature is 32.9 °C (91.2 °F), logged in August 1990, although more classically the average warmest day of the year should be 27.0 °C (80.6 °F). In total, just under fourteen days should report a temperature of 25.1 °C (77.2 °F) or above.


Based on the 2001 survey, the total population of the city was 240,63. This was a warning of 3.5% since 1991. 51.3% of the population is female. 96.3% of the population of Stoke-on-Trent were instinctive in the UK. 94.8% of the population recognised themselves as white, 2.6% as Asian British Pakistani, 0.5% Asian British Indian and 0.3% as Black Afro Caribbean. Concerning faith, 74.7% labelled themselves as Christian, 3.2% Muslim and 13.4% had no religion. In the same survey, 19.9% were recognised as under 15; 21.0% were over 60. A total of 24.2% of non-pensioner families were logged as having no working grownups. In 2011 the population had amplified to 249,000. It is the first time that the city's population has full-grown since it drawn at 276,639 in 1931.