Get Certified in Lean Six Sigma Black Belt and become a Process Excellence Expert!

  4.1 Ratings
  1362 Learners
Master the key to your organization’s improvement effort with Lean Six Sigma Blackbelt. AcadGild’s Six Sigma Black Belt training and certification program is modelled on the Body of Knowledge (BOK) of the American Society of Quality (ASQ), with cutting-edge and real-life applications integrated with the training section.
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Course Overview
Introduction
An overview of Six Sigma Black Belt and the impact of it on the organization. The Six Sigma Language.
Define
Project Management, Project Definition, Project Charter, developing a Business Case, chartering a Team, Defining Roles and Responsibilities, Support for Project, Translating Customer Needs into Specific Requirements (CTQs), SIPOC Diagram, Define Phase Review.
Measure
Process Mapping, Data Attributes, Defining Metrics, Measurement System Analysis, Gage Repeatability and Reproducibility, Data Collection Techniques, Calculating Sample Size, Data Collection Plan, Understanding Variation, Measuring Process Capability, Calculating Process Sigma Level, Rolled Throughput Yield, Visually Displaying Baseline Performance, Measurement Phase Review
Analyze
Visually Displaying Data, Value-Added Analysis, Cause and Effect Analysis, Affinity Diagram, Data Segmentation and Stratification, Correlation and Regression, Process Performance, Non-Normal Data Distribution Transformations, Central Limit Theorem, Goodness of Fit Testing, Hypothesis Testing, Analysis of Variance (ANOVA), Two Sample T-Tests, Chi Squared Test, Design of Experiments (DOE) Full, Analyze Phase Review.
Improve
Multi-Voting, Process Simulation, Quality Function Deployment, Selecting a Solution, Failure Modes and Effects Analysis, Poka Yoke, Piloting Your Solution, Implementation Planning, Statistical Software Training, Culture Modification Planning For Your Organization, Improve Phase Review
Control
Assessing the Results of Process Improvement, Statistical Process Control, Rational Subgrouping, Establishing Process Standards for Inputs, Process and Outputs, developing a Process Control Plan, Documenting the Process, Statistical Software Training, Control Phase Review.
Highly Experienced
Mentors
Classroom Training
in Small Batches
24x7
Coding Support
98%
Passrate
Course Aligned with Latest Exam Module
Course Syllabus
  • About LSSBB
  • Organizational roadblocks
  • BlackBelt role in communication and selection criteria
  • Overview of continuous improvement approaches
  • Overview of Lean
  • Lean concepts
  • Lean Tools explained - 5S
  • Kaizen
  • SME
  • Heijunka
  • Genchi Gembutsu
  • Pre-define - DMAIC vs DFSS
  • Pre-define
  • pre- requisites & qualifications
  • Project prioritization matrix
  • Introduction to enterprise wide view versus LOB view
  • NPV & IRR
  • Define - Champion's transfer of project
  • VOC/VOB/VOP
  • CTQ
  • CTC
  • CTS
  • VOC-CTQ Tree
  • Translation of metrics
  • Kano Model
  • Quality function deployment
  • Y -Baseline performance
  • Project Charter
  • Business metrics
  • Rolled Throughput Yield(RTY)
  • Statistical Defination of Six Sigma
  • Team member selection
  • Pre-Measure considerations and Tools
  • Types of Data and Measurement Scales
  • Central Tendency and Dispersion
  • Measurement System Analysis - Variables GAGE RR and Attribute RR
  • Stability conditions
  • Capability Metrics ( Cp
  • Cpk
  • Cpkm
  • Pp
  • Ppk)
  • Variations
  • Variability and Process Conditions
  • Data Distribution ( Normal
  • Binomial
  • Poisson
  • Exponential)
  • Sigma Shift
  • Mean Shift and Reducing Variations
  • Sigma Shift
  • Mean Shift and Reducing Variations
  • Baseline Data
  • Pre- Analyse considerations
  • Objectives of analyse
  • Value Stream Analysis
  • Source of Variation
  • Cause and Effect Diagrams
  • Box Plots
  • Pre- Analyse considerations
  • Confidence Intervals
  • Hypothesis Testing - Parametric ( f Test
  • t test
  • z test
  • ANOVA( 1 way & 2 way)
  • Hypothesis Testing - Non Parametric (Mann Whitney
  • Wilcoxon Rank Sign
  • Kruskal Wallis)
  • Analysis of Categorical Data
  • Pre-Improve considerations
  • Design of Experiments - Theory
  • Design of Experiments - Practical
  • Brainstorming for Solutions Prioritization and Cost Benefits Analysis
  • Piloting
  • Validating and FMEA
  • Pre- Control considerations
  • Variables control charts and attributes control charts
  • Measurement System Analysis
  • Control Plan
  • Document Archiving and Project Closure
  • Introduction to Total Productive Maintenance
  • About LSSBB
  • Organizational roadblocks
  • BlackBelt role in communication and selection criteria
  • Overview of continuous improvement approaches
  • Overview of Lean
  • Lean concepts
  • Lean Tools explained - 5S
  • Kaizen
  • SME
  • Heijunka
  • Genchi Gembutsu
  • Pre-define - DMAIC vs DFSS
  • Pre-define
  • pre- requisites & qualifications
  • Project prioritization matrix
  • Introduction to enterprise wide view versus LOB view
  • NPV & IRR
  • Define - Champion's transfer of project
  • VOC/VOB/VOP
  • CTQ
  • CTC
  • CTS
  • VOC-CTQ Tree
  • Translation of metrics
  • Kano Model
  • Quality function deployment
  • Y -Baseline performance
  • Project Charter
  • Business metrics
  • Rolled Throughput Yield(RTY)
  • Statistical Defination of Six Sigma
  • Team member selection
  • Pre-Measure considerations and Tools
  • Types of Data and Measurement Scales
  • Central Tendency and Dispersion
  • Measurement System Analysis - Variables GAGE RR and Attribute RR
  • Stability conditions
  • Capability Metrics ( Cp
  • Cpk
  • Cpkm
  • Pp
  • Ppk)
  • Variations
  • Variability and Process Conditions
  • Data Distribution ( Normal
  • Binomial
  • Poisson
  • Exponential)
  • Sigma Shift
  • Mean Shift and Reducing Variations
  • Sigma Shift
  • Mean Shift and Reducing Variations
  • Baseline Data
  • Pre- Analyse considerations
  • Objectives of analyse
  • Value Stream Analysis
  • Source of Variation
  • Cause and Effect Diagrams
  • Box Plots
  • Pre- Analyse considerations
  • Confidence Intervals
  • Hypothesis Testing - Parametric ( f Test
  • t test
  • z test
  • ANOVA( 1 way & 2 way)
  • Hypothesis Testing - Non Parametric (Mann Whitney
  • Wilcoxon Rank Sign
  • Kruskal Wallis)
  • Analysis of Categorical Data
  • Pre-Improve considerations
  • Design of Experiments - Theory
  • Design of Experiments - Practical
  • Brainstorming for Solutions Prioritization and Cost Benefits Analysis
  • Piloting
  • Validating and FMEA
  • Pre- Control considerations
  • Variables control charts and attributes control charts
  • Measurement System Analysis
  • Control Plan
  • Document Archiving and Project Closure
  • Introduction to Total Productive Maintenance
  • About LSSBB
  • Organizational roadblocks
  • BlackBelt role in communication and selection criteria
  • Overview of continuous improvement approaches
  • Overview of Lean
  • Lean concepts
  • Lean Tools explained - 5S
  • Kaizen
  • SME
  • Heijunka
  • Genchi Gembutsu
  • Pre-define - DMAIC vs DFSS
  • Pre-define
  • pre- requisites & qualifications
  • Project prioritization matrix
  • Introduction to enterprise wide view versus LOB view
  • NPV & IRR
  • Define - Champion's transfer of project
  • VOC/VOB/VOP
  • CTQ
  • CTC
  • CTS
  • VOC-CTQ Tree
  • Translation of metrics
  • Kano Model
  • Quality function deployment
  • Y -Baseline performance
  • Project Charter
  • Business metrics
  • Rolled Throughput Yield(RTY)
  • Statistical Defination of Six Sigma
  • Team member selection
  • Pre-Measure considerations and Tools
  • Types of Data and Measurement Scales
  • Central Tendency and Dispersion
  • Measurement System Analysis - Variables GAGE RR and Attribute RR
  • Stability conditions
  • Capability Metrics ( Cp
  • Cpk
  • Cpkm
  • Pp
  • Ppk)
  • Variations
  • Variability and Process Conditions
  • Data Distribution ( Normal
  • Binomial
  • Poisson
  • Exponential)
  • Sigma Shift
  • Mean Shift and Reducing Variations
  • Sigma Shift
  • Mean Shift and Reducing Variations
  • Baseline Data
  • Pre- Analyse considerations
  • Objectives of analyse
  • Value Stream Analysis
  • Source of Variation
  • Cause and Effect Diagrams
  • Box Plots
  • Pre- Analyse considerations
  • Confidence Intervals
  • Hypothesis Testing - Parametric ( f Test
  • t test
  • z test
  • ANOVA( 1 way & 2 way)
  • Hypothesis Testing - Non Parametric (Mann Whitney
  • Wilcoxon Rank Sign
  • Kruskal Wallis)
  • Analysis of Categorical Data
  • Pre-Improve considerations
  • Design of Experiments - Theory
  • Design of Experiments - Practical
  • Brainstorming for Solutions Prioritization and Cost Benefits Analysis
  • Piloting
  • Validating and FMEA
  • Pre- Control considerations
  • Variables control charts and attributes control charts
  • Measurement System Analysis
  • Control Plan
  • Document Archiving and Project Closure
  • Introduction to Total Productive Maintenance
Customers Feedback
FAQ's
At the end of AcadGild’s training in Lean Six Sigma Black Belt, you will gain knowledge on:
  • Apply Lean concepts such as 5S, waste reduction, process mapping, value stream mapping and mistake proofing.
  • Apply basic and more advanced statistical analyses to determine the relationship between key inputs and process outputs.
  • Effectively manage team dynamics and understand how to work with multiple levels of leadership to remove barriers and achieve project success.
  • Close projects and hand over control to process owners.
  • Present projects to instructors, peers and managers.
According to a recent survey by sixsigma.com, the median salary for certified professionals in this field is approximately $83,107 per year.
This is a personal question and impossible for us to answer. But, from what we have seen, achieving Certification can be highly rewarding and extremely value added on a personal and professional level. Additionally, the value you deliver to your company from project work should return your training investment within months.
No, there are many organizations that have laid out suggestions of what they believe a Six Sigma Black Belt should know but there is no single authority on the subject. With this said, due to the vast amount of experience within AcadGild, you can be rest assured the content we deliver is comprehensive, accurate, and easy to understand.
The course is suitable for any professional interested in process improvement techniques, which may include:
  • Senior Management
  • Management students
  • Team leaders
  • Software Professionals
  • If a company intends to implement Six Sigma, then the management of the company needs to be trained
  • Project Managers
  • Quality Assurance Engineers
  • Software Quality Assurance Team Members
For online mentor driven course you need: A Windows or Mac machine. An Internet connection with a minimum speed of 500 KBPS. However, for the classroom training, you need not bring anything.