Six Sigma Green Belt Certification

Six Sigma and Lean in the Organization

Length: 2.5 hours

Description: This course will examine how Six Sigma and Lean help organizations achieve their strategic goals and why so many successful organizations attribute their success to them. The course first introduces the key concepts and contributors associated with Six Sigma, and then moves on to basic Lean tools used to identify and remove waste and improve process flow.

Design for Six Sigma in the Organization

Length: 2 hours

Description: This course will examine how Six Sigma combines DFSS methodologies and tools to reach organizational goals. It distinguishes DFSS methodologies from those of Six Sigma, and outlines some of the key DFSS tools such as quality function deployment (QFD) and Failure Modes and Effects Analysis (FMEA).

Processes and Customer Analysis in Six Sigma Projects

Length: 2.5 hours

Description: In this course, learners will examine how to analyze process components and stakeholders in an organization. They will also learn about concepts and tools for collecting and analyzing customer information and feedback. The course also explains how customer requirements are translated into goals and deliverables using such tools as Kano analysis, CTQ analysis, and the House of Quality matrix.

Basics of Six Sigma Projects and Teams

Length: 2.5 hours

Description: This course will examine the fundamental project management tools used in a successful Six Sigma project. The course introduces the essential elements of a project charter, explains how project scope and metrics are developed, and gives an insight into the tools used to plan and implement improvement in a Six Sigma initiative. It also looks at team building, team roles, and team dynamics, and examines a variety of team tools that are commonly used in Six Sigma.

Tools for Planning and Managing Six Sigma Project Opportunities

Length: 2.5 hours

Description: This course will examine the tools used in Six Sigma to help organizations make decisions and plan and communicate findings. These tools include affinity diagrams, interrelationship digraphs, tree diagrams, prioritization matrices, matrix diagrams, process decision program charts, and activity network diagrams. The course describes these tools, identifies their benefits, and uses real-life examples to show the situations that they are best suited to.

Using Six Sigma Analysis Tools and Metrics for Project Decisions

Length: 1.5 hours

Description: This course will examine how and when to use the metrics and tools to select Six Sigma projects. The course explores some of the number-driven metrics, such as defects per unit (DPU), rolled throughput yield (RTY), defects per million opportunities (DPMO), and process capability indices. It also explains cost of poor quality (COPQ) as a metric used to assess and indirectly present the potential gains to the company if the quality of products and processes is improved.

Modeling and Analyzing Processes in Six Sigma

Length: 2 hours

Description: This course will examine the tools and techniques used to model and analyze existing processes. From a process modeling perspective, the course looks at techniques such as process mapping, written procedures, and work instructions. From a process analysis point of view, the course examines the use of SIPOC analysis to identify process input and output variables, and explores how cause-and-effect diagrams and relational matrices are used to establish relationships between problems and potential causes.

Statistics and Probability in Six Sigma

Length: 2 hours

Description: This course explores basic statistical concepts that apply to Six Sigma. It distinguishes between enumerative and analytical statistics and population and sample characteristics, and describes the Central Limit Theorem. It also examines basic probability concepts and looks at dependent, independent, and mutually exclusive events, and multiplication and addition rules.

Data Classification and Collection in Six Sigma

Length: 1.5 hours

Description: This course will explore continuous and discrete types of data, and nominal, ordinal, interval, and ratio measurement scales. It will also introduce methods for data collection, such as check sheets and coded data, and deals with the issue of data accuracy and integrity, focusing particularly on sampling techniques such as random sampling and stratified sampling.

Summarizing and Presenting Data in Six Sigma

Length: 1.5 hours

Description: This course deals with the basic concepts of descriptive statistics, such as measures of central tendency and dispersion, and their significance in Six Sigma data analysis.

Probability Distributions and Measurement Systems Analysis in Six Sigma

Length: 2 hours

Description: This course will examine how to calculate normal, binomial, Poisson, chi-square, Student's t-distributions, and F distributions. It will also look at how to assess the precision and accuracy of an organization's current measurement system using Gauge Repeatability and Reproducibility (GR&R), bias, linearity, percent agreement, and Precision/tolerance (P/T) studies.

Measuring Process Capability and Performance in Six Sigma

Length: 2 hours

Description: This course will examine the key concepts of process capability and performance, and the methods of measuring and interpreting them in a process capability study. It covers the calculation and interpretation of process capability and performance measurements. It also identifies key considerations for measuring process capability, such as short-term and long-term capability and process capability for discrete data.

Exploratory Data Analysis in Six Sigma

Length: 1.5 hours

Description: This course introduces some key exploratory data analysis tools used in Six Sigma such as multi-vari studies, correlation, and regression models. The course takes you through the multi-vari analysis to identify positional, cyclical, and temporal variations and how to apply an effective sampling plan for conducting this analysis. It also explains the correlation coefficient, its statistical significance, and how it is different from causation.

Introduction to Hypothesis Testing and Testing for Means in Six Sigma

Length: 2 hours

Description: This course covers the key hypothesis testing concepts and the tests used in Six Sigma. The course will explore the steps for testing hypotheses for one-sample t-tests and two-sample t-tests with the help of real-life examples and case studies.

Hypothesis Tests for Variances, Proportions, ANOVA, and Chi-Square in Six Sigma

Length: 1.5 hours

Description: The course covers the key steps for testing hypotheses for proportions, variances, and paired comparisons with the help of real-life examples and case studies. It also covers how to use single-factor analysis of variance (ANOVA) and how to test hypotheses using a chi-square test.

Design of Experiments and Validation of Solutions in Six Sigma

Length: 1.5 hours

Description: This course explains the basic design of experiments (DOE) concepts and outlines how to select, test, and validate improvement solutions in the final stages of a Six Sigma project. During the course, basic DOE concepts such as factors, levels, interactions, and main effects are introduced. The course also explores the full and fractional factorial designs and the DOE process.

Statistical Process Control and Control Plans in Six Sigma

Length: 1.5 hours

Description: This course aims to introduce basic SPC and control chart concepts and how to develop a control plan to hold the gains prior to the closure of a Six Sigma project. The course identifies the key objectives and benefits of SPC and explains the concept of rational subgrouping. It also introduces the different types and the key elements of control charts, and identifies control chart patterns that indicate an out-of-control process.

Using Basic Control Charts in Six Sigma

Length: 2.5 hours

Description: This course deals primarily with basic control chart concepts and how they are created and analyzed in Six Sigma. It teaches methods of creating and analyzing key variable and attribute control charts. The course also identifies the control charts to use in specific situations and the various steps in the standard control charting process.