Lean Six Sigma Black Belt (IASSC ™) Premium (exam included)
1.350,00 EUR
- 36 hours
The Black Belt certification program with IASSC is designed to deepen your understanding and mastery of Six Sigma methodologies, tools, and techniques. It builds upon the foundational knowledge gained during your Green Belt certification and takes it to higher proficiency and expertise. This course provides in-depth training in statistical analysis, project management, leadership, and strategic alignment. Participants will learn to lead complex improvement projects, drive organizational change, and deliver measurable business results. Advancing from a Green Belt to a Black Belt certification with IASSC offers numerous benefits, including career advancement, enhanced skills, industry recognition, and the ability to drive significant organizational improvements. It's a valuable investment in your professional development and future success in Six Sigma.
Key Features
Language
Course and material are in English
Blended learning
36 hours of Live online classroom + 9 hours online self-learning material
Flexi Pass Enabled
Flexibility to sign up and reschedule your class cohort within first 90 days of access.
Access
1 year access to the learning platform & class recordings
Exam simulation
4 Simulations Assessments and 2 Live Projects
Certification
Accredited to Globally Recognized IASSC with 35 PDUs offered
Official Exam included
Valid for 1 year. Pick your own online exam date!
GenAI
Exclusive GenAI Modules for Quality Management
Learning Outcomes
At the end of this Lean Six Sigma Black Belt (IASSC) Course, you will be able to:
Lean Concepts
Apply Lean concepts such as 5S, waste reduction, process mapping, value stream mapping, and mistake-proofing.
Relationship between Key Inputs & Process Outputs
Apply basic and more advanced statistical analyses to determine the relationship between key inputs and process outputs.
Team Dynamics
Effectively manage team dynamics and understand how to work with multiple levels of leadership to remove barriers and achieve project success.
Project Closing
Close projects and hand over control to process owners.
Project Presentation
Present projects to instructors, peers, and managers.
Course timeline
The Basics of six Sigma
Lesson 01
- Introduction to define phase
- Learning Objectives
- Six Sigma
- Lean
- Sigma Shift
- Yield
- Continuous Improvement Process Evolution
- Six Sigma Deliverables
- Problem Solving Strategy
- VOC Campaign
- VOC Tools
- KANO Analysis
- Six Sigma Rotes and Responsibilities
- Project Champion and Master Black Belt
- Black Belt and Yellow Belt
- Drivers of Six Sigma
The Fundaments of Six Sigma
Lesson 02
- Process
- -Project Charter
- Critical to quality
- Cost of Poor Quality
- Calculating CoPQ
- Pareto Analysis
- Basic six Sigma metrics
Selecting Lean Six Sigma Projects
Lesson 03
- Selecting Lean Six Sigma Projects
- Project Selection Roadmap
- Project Charter Elements
- Project Charter Business Case
- Project Charter Problem Statement
- Project Charter Goal Statement
- Project Charter Scope
- Project Charter Key Milestones
- Project Charter Team Selection
- Tuckman's Stages of Team Formation
- The RACI Matrix
- Expected Financial Benefits
- Developing Projects Metrics
- Key Performance Indicator
- Financial Evaluation and Benefits Capture
- Net Present Value
The Lean Enterprise
Lesson 04
- Selecting Lean Six Sigma projects
- Principles of Lean
- Lean Methodology
- Lean and Six Sigma
- 3M´s of Lean
- Categories of Waste: TIMWOOD
- Category of Waste: DOWNTIME
- 5S
- Steps in 5S
Process Definition
Lesson 05
- Introduction to measure phase
- Tools to Define a Process
- Cause and Effect Diagram
- Drawing a Fishbone Map
- Root Cause
- Process Mapping
- Creating a Process Map
- Process Mapping Levels
- Four Types of Process Maps
- SIPOC Process Map
- Value Streams Maps: Key Metrics
- X-Y Diagram of Scatterplots
- Failure Mode and Effects Analysis (FMEA)
- FMEA Process, FMEA Template
- Severity, Occurrence, and Detection Table
- Risk Priority Number (RPN)
Six Sigma Statistics
Lesson 06
- Data
- Measuring Data
- Basic Statistics
- Measures of Central Tendency
- Measures of Dispersion
- Data Collecting Plan
- Data Collection Methodology
- Develop a Measurement plan
- Collect Data
- Sampling Methods
- Graphical Analysis
- Graphical Analysis Tool
- Introduction to Minitab
- Demo: Boxplot one Variable
- Demo: Boxplot with three Variables
- Demo: Time series plot
- Normal Distribution: Standard Normal Distribution.
- Demo: Normality
Hypothesis Testing
Lesson 07
- Introduction
- Basics of Hypothesis Testing
- Confidence Interval
- Significant Difference
- Statistical Hypothesis Test
- Hypothesis Testing: Risks
- Beta Risk
- Power of a Hypothesis Test
- Sample Size
- Hypothesis Testing Roadmap
Hypothesis Testing with Normal Data
Lesson 08
- Introduction
- Normal Data
- One Sample t-test
- One Sample t-test Sample Size
- Demo: 1 Sample t Test
- Two-Sample t-Test
- Two-Sample t-Test Example
- Demo: 2 Sample t-Test
- Demo: Berlette #39:s Test
- Paired t-Test
- Demo: Paired Test
- ANOVA
- Demo: Anova
- Residual Plot
Hypothesis Testing with Non-Normal Data
Lesson 09
- Introduction
- Non Parametric Tests
- Mann-Whitney Tests
- Demo: Mann_Whitney_Test
- Kruskal-Wallis Test
- Demo: Kruskal_Walls_Test
- Mood´s Median Test
- Demo: Mood`s Median Test
- Friedman Test
- Demo: Freidman_Test
- 1 Sample Wilcoxon Test
- Demo: 1 Sample Wilcoxon Test
- One-Sample Proportion Test
- Demo: One-Sample proportion Test
- Two-Sample Proportion Test
- Demo: Two-Sample Proportion Test
- Chi-Square Tests
- Demo: Chi-square Goodness-of-fit Test,
- Chi-Square Goodness-of-Fit Test, Demo: Chi-Square Goodness-of-Fit Test.
- Chi-Square Cross Tabulation
- Demo: Chi-Square Cross Tabulation
- Demo: Levene_F-Test
Simple Linear Regression
Lesson 10
- Introduction to Improve Phase
- Learning Objectives
- Correlation, Demo: Correlation
- Demo: Scatterplot
- Correlation and Causation
- Predictor measures and Results
- Correlation Coefficients
- Regression Analysis, Demo: Regression
- Residual Analysis
Multiple Regression Analysis
Lesson 11
- Introduction
- Multi-Vari Analysis
- Demo: Multi-Vari Analysis
- Non-Linear Regression
- Multiple Linear Regression
- Demo: Multiple Linear Regression
- Variance inflation Factor (VIF)
- Variance inflation Factor (VIF): Example
- Confidence Interval in Multiple Linear Regression.
- Box-Cox Transformation
- Demo: Box-Cox Transformation
Designed Expriments
Lesson 12
- Introduction
- Designed Experiments
- Phases of DOE Process
- Optimization and confirmation
- Types of DOE Strategies
- Full Factorial and Factorial Approaches
- Experimental Design: Considerations.
Factorial Experiment's
Lesson 13
- Introduction
- Factorial Designs
- Full Factorial Experiments
- Demo: Full Factorial Experiments
- Quadratic Models
- Types of Response Surface Designs
- Balanced and Orthogonal Design
- Center Points
- Fractional Factorial Experiment
- Confounding
Lean Controls
Lesson 14
- Introduction to Control Phase
- Learning Objectives
- Control Methods of 5S
- Sort
- Set in Order
- Shine standardize and sustain
- Kanban
- Kanban Principles
- Steps to implement Kanban
- Poka Yoke or Mistake Proofing
- Mistake Proofing Examples
Statistical Process Control (SPC)
Lesson 15
- Introduction
- Statistical Process Control: Purpose
- Control Charts
- Control Charts: Objectives
- Control Charts: Uses
- Control Charts: Types
- Control Charts: Steps
- Subgroup
- Consideration for Rational Subgrouping
- Charts for Attribute Data
- Tests for Special Causes
- Demo: I MR Chart
- Demo: X Bar R Chart
- Demo: X Bar s Chart
- Demo: P Charts
- Demo: NP Charts
- Demo: U Charts
- Demo: C Charts
- Demo: Cu sum Chart
- Demo: EWMA Chart
Six Sigma Control Plans
Lesson 16
- Introduction
- Project Cost Benefits Analysis
- Return on Investment (ROI)
- Cost Benefit Analysis
- Cost Benefit Analysis: Steps
- NPV and IRR
- Selecting the Right Solutions: Guidelines
- Implementation of Proposed Solutions: Roadmap.
- Control Plan
- Elements of a Control Plan
- Control Plan: Training
- Response Plan
- Project Closure
- Practice Projects
- V-tech Hydraulic Solutions
- Elite Elegance
Pre-requisites
- Learners need to possess an undergraduate degree or a high school diploma.
- There are no prerequisites required to sit for the IASSC Certified Lean Six Sigma Black Belt exam.
- Completing Green Belt training is recommended but not mandatory
- Formal Lean Six Sigma training from a verified Lean Six Sigma trainer or corporate program is suggested if applicants want to increase their chances of passing the exam
- It is also recommended that exam takers have some degree of real-world Lean Six Sigma work experience
Who should enroll this program?
Senior Management
Team Leaders
Software Professionals
Project Managers
Quality Assurance Engineers
Software Quality Assurance Team Members
Managements Students
Certification Details
Our Certified Lean Six Sigma Black Belt is accredited by IASSC. The AVC Lean Six Sigma Black Belt Certification follows the flipped classroom model. The online self- paced content acts as the pre-read material for the live sessions. The learner needs to complete the online self-paced videos, attend live sessions and pass both the projects and assessments to get the AVC certification.
The candidate can earn IASSC certification in Lean Six Sigma Black Belt by appearing for the IASSC Certified Lean Six Sigma Black Belt exam and scoring a minimum of 70%. Upon succeeding, the candidate will receive a certificate, suitable for framing, issued by the IASSC.
About IASSC
Our Certified Lean Six Sigma Black Belt is aligned with IASSC
IASSC, the International Association for Six Sigma Certification is a professional association that offers Six Sigma and Lean Six Sigma certifications to individuals and organizations worldwide. IASSC is an independent certification body that awards Lean Six Sigma certifications based on internationally recognized standards and best practices.
Founded in 2009, IASSC has since become a global leader in the Six Sigma and Lean Six Sigma industry. The certification programs are designed to provide individuals with a comprehensive understanding of the Lean Six Sigma methodology and its application in various industries. They offer three levels of certification - Yellow Belt, Green Belt and Black Belt - to accommodate individuals at different stages of their career. One of the unique aspects of the IASSC certification program is its focus on Lean Six Sigma methodology rather than on any specific industry or technology. This means that individuals and organizations can apply the principles and tools of Lean Six Sigma across a broad spectrum.
The benefits of the IASSC Certified Lean Six Sigma Black Belt certification are numerous. It provides individuals with the skills and knowledge they need to improve business processes and drive organizational change. It also improves their career prospects and earning potential, as Lean Six Sigma is in high demand in several industries.
The certification also demonstrates a commitment to excellence and a willingness to go beyond what is required to achieve results. It helps individuals to stand out in a crowded job market and gain the recognition they deserve for their expertise and experience.
Frequently Asked Questions
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