Six Sigma Black Belt Skills you will learn

  • Application of Lean concepts
  • Advanced statistical analysis
  • Manage team dynamics
  • Work with multiple levels
  • Project prioritization matrix

Who should learn Six Sigma Black Belt

  • Senior Managers
  • Team Leads
  • Software Professionals
  • Project Managers
  • Quality Assurance Engineers
  • Management Professionals

What you will learn in Six Sigma Black Belt program

  • Section 01: Course Introduction

    • Lesson 01: Course Introduction

      05:39
      • 1.01 Course Introduction
        05:39
  • Section 02: Define Phase

    • Lesson 01: The Basics of Six Sigma

      38:36
      • 1.01 Introduction to Define Phase
        01:56
      • 1.02 Learning Objectives
        00:38
      • 1.03 Six Sigma
        01:46
      • 1.04 Lean
        05:07
      • 1.05 Sigma Shift
        02:11
      • 1.06 Yield
        01:09
      • 1.07 Continuous Improvement Process Evolution
        04:44
      • 1.08 Six Sigma Deliverables
        02:57
      • 1.09 Problem Solving Strategy
        02:57
      • 1.10 VOC Campaign
        03:07
      • 1.11 VOC Tools
        02:03
      • 1.12 KANO Analysis
        02:30
      • 1.13 Six Sigma Roles and Responsibilities
        00:59
      • 1.14 Project Champion and Master Black Belt
        02:13
      • 1.15 Black Belt and Yellow Belt
        02:38
      • 1.16 Drivers of Six Sigma
        00:42
      • 1.17 Quick Recap
        00:59
      • Knowledge Check
    • Lesson 02: The Fundamentals of Six Sigma

      20:40
      • 2.01 Introduction
        00:31
      • 2.02 Process
        03:01
      • 2.03 Project Charter
        01:47
      • 2.04 Critical to Quality
        03:14
      • 2.05 Cost of Poor Quality
        02:56
      • 2.06 Calculating CoPQ
        01:30
      • 2.07 Pareto Analysis
        03:38
      • 2.08 Basic Six Sigma Metrics
        03:12
      • 2.09 Quick Recap
        00:51
      • Knowledge Check
    • Lesson 03: Lean Six Sigma Projects

      33:58
      • 3.01 Introduction
        00:34
      • 3.02 Selecting Lean Six Sigma Projects
        01:59
      • 3.03 Project Selection Roadmap
        01:16
      • 3.04 Project Charter Elements
        02:53
      • 3.05 Project Charter Business Case
        00:43
      • 3.06 Project Charter Problem Statement
        01:30
      • 3.07 Project Charter Goal Statement
        01:02
      • 3.08 Project Charter Scope
        01:32
      • 3.09 Project Charter Key Milestones
        02:12
      • 3.10 Project Charter Team Selection
        01:18
      • 3.11 Tuckmans Stages of Formation
        03:17
      • 3.12 The RACI Matrix
        02:33
      • 3.13 Expected Financial Benefits
        02:52
      • 3.14 Developing Project Metrics
        01:39
      • 3.15 Key Performance Indicator
        02:32
      • 3.16 Financial Evaluation and Benefits Capture
        02:52
      • 3.17 Net Present Value
        02:10
      • 3.18 Quick Recap
        01:04
      • Knowledge Check
    • Lesson 04: The Lean Enterprise

      34:25
      • 4.01 Introduction
        00:31
      • 4.02 Lean
        02:20
      • 4.03 Principles of Lean
        02:02
      • 4.04 Lean Methodology
        03:36
      • 4.05 Lean and Six Sigma
        01:15
      • 4.06 Three Ms of Lean
        04:07
      • 4.07 Categories of Waste TIMWOOD
        04:04
      • 4.08 Category of Waste DOWNTIME
        02:13
      • 4.09 Five S
        02:36
      • 4.10 Steps in Five S: Part One
        02:51
      • 4.11 Steps in Five S: Part Two
        02:44
      • 4.12 Quick Recap
        00:51
      • 4.14 Activity
        02:36
      • 4.15 Solution
        02:39
      • Knowledge Check
  • Section 03: Measure Phase

    • Lesson 01: Process Definition

      38:15
      • 1.01 Introduction to Measure Phase
        01:09
      • 1.02 Learning Objectives
        00:39
      • 1.03 Process
        01:02
      • 1.04 Cause and Effect Diagram
        01:00
      • 1.05 Drawing a Fishbone diagram
        01:50
      • 1.06 Root Cause
        01:30
      • 1.07 Process Mapping
        01:37
      • 1.08 Creating a Process Map
        02:01
      • 1.09 Process Mapping Levels
        01:52
      • 1.10 Four Types of Process Maps
        00:41
      • 1.11 SIPOC Process Map
        03:00
      • 1.12 Value Stream Maps
        02:24
      • 1.13 Value Stream Maps Key Metrics
        03:11
      • 1.14 X Y Diagram or Scatter Plots
        02:41
      • 1.15 Failure Mode and Effects Analysis
        02:42
      • 1.16 FMEA Process
        01:26
      • 1.17 FMEA Template
        04:42
      • 1.18 Severity Occurrence and Detection Table
        03:13
      • 1.19 Risk Priority Number
        01:00
      • 1.20 Quick Recap
        00:35
      • Knowledge Check
    • Lesson 02: Six Sigma Statistics

      52:41
      • 2.01 Introduction
        00:34
      • 2.02 Data
        02:06
      • 2.03 Measuring Data
        01:47
      • 2.04 Basic Statistics
        02:45
      • 2.05 Measures of Central Tendency
        02:28
      • 2.06 Measures of Dispersion
        02:05
      • 2.07 Data Collection Plan
        01:30
      • 2.08 Data Collection Plan Steps
        01:57
      • 2.09 Develop a Measurement Plan
        02:09
      • 2.10 Collect Data
        01:43
      • 2.11 Sampling
        01:24
      • 2.12 Sampling Methods
        03:04
      • 2.13 Graphical Analysis
        00:59
      • 2.14 Graphical Analysis Tools
        02:57
      • 2.15 Introduction to Minitab
        13:56
      • 2.16 Demo: Box Plot One Variable
        01:53
      • 2.17 Demo: Box Plot with Three Variables
        01:00
      • 2.18 Demo: Time Series Plot
        01:42
      • 2.19 Normal Distribution
        01:34
      • 2.20 Standard Normal Distribution
        02:55
      • 2.21 Demo: Normality Test
        00:57
      • 2.22 Quick Recap
        01:16
      • Knowledge Check
    • Lesson 03: Measurement System Analysis

      21:56
      • 3.01 Introduction
        00:30
      • 3.02 Measurement System Analysis: Overview
        01:57
      • 3.03 Good and Poor Measurement System Analysis
        02:03
      • 3.04 Measurement Error Categories
        01:38
      • 3.05 MSA Sources of Variation
        01:08
      • 3.06 Repeatability
        00:55
      • 3.07 Reproducibility
        00:45
      • 3.08 Accuracy and Precision
        00:58
      • 3.09 Bias
        00:21
      • 3.10 Stability
        00:46
      • 3.11 Linearity
        00:37
      • 3.12 MSA Types
        00:48
      • 3.13 Gage R R Guidance in MINITAB
        01:27
      • 3.14 Gage R R Ground Rules
        01:12
      • 3.15 Demo: Gage R R Continuous Data
        02:23
      • 3.16 Attribute Gage Study
        01:18
      • 3.17 Demo: Gage R R Attribute Data
        02:14
      • 3.18 Quick Recap
        00:56
      • Knowledge Check
    • Lesson 04: Process Capability

      36:33
      • 4.01 Introduction
        00:31
      • 4.02 Process Capability Overview
        01:25
      • 4.03 RUMBA Analysis
        02:40
      • 4.04 Process Capabilities
        01:50
      • 4.05 Data Types
        02:16
      • 4.06 Baseline Performance: Part One
        02:07
      • 4.07 Baseline Performance: Part Two
        01:28
      • 4.08 Components of Variation
        00:59
      • 4.09 Process Stability
        01:22
      • 4.10 Process Capability Indices
        02:52
      • 4.11 Demo: Capability Analysis Continuous Data
        01:40
      • 4.12 Process Capability Indices: Example
        01:58
      • 4.13 Demo: Capability Analysis Continuous Data Sigma Level
        01:02
      • 4.14 Z Score
        02:30
      • 4.15 Process Baseline
        01:37
      • 4.16 Defects Per Unit
        01:36
      • 4.17 Defects Per Million Opportunities
        01:20
      • 4.18 Attribute Data: Example
        02:30
      • 4.19 Short-term and long-term Process Capability
        02:13
      • 4.20 Quick Recap
        00:42
      • 4.22 Activity
        00:57
      • Knowledge Check
      • 4.23 Solution
        00:58
  • Section 04: Analyze Phase

    • Lesson 01: Classes of Distribution

      13:23
      • 1.01 Introduction to Analyze Phase
        00:55
      • 1.02 Learning Objectives
        00:34
      • 1.03 Frequency Distribution
        00:41
      • 1.04 Demo: Frequency Distribution
        01:26
      • 1.05 Probability Distribution
        01:25
      • 1.06 Types of Probability Distributions
        03:08
      • 1.07 Types of Discrete Probability Distribution
        02:07
      • 1.08 Types of Continuous Probability Distribution
        02:11
      • 1.09 Quick Recap
        00:56
      • Knowledge Check
    • Lesson 02: Inferential Statistics

      06:32
      • 2.01 Introduction
        00:34
      • 2.02 Inferential Statistics
        02:31
      • 2.03 Branches of Inferential Statistics
        01:37
      • 2.04 Central Limit Theorem
        01:21
      • 2.05 Quick Recap
        00:29
      • Knowledge Check
    • Lesson 03: Hypothesis Testing

      24:47
      • 3.01 Introduction
        00:32
      • 3.02 Basics of Hypothesis Testing
        02:12
      • 3.03 Confidence Interval
        02:01
      • 3.04 Significant Difference
        01:59
      • 3.05 Detecting Significance
        03:21
      • 3.06 Statistical Hypothesis Test
        02:42
      • 3.07 Hypothesis Testing Risks
        01:44
      • 3.08 Beta Risk
        02:29
      • 3.09 Power of a Hypothesis Test
        02:29
      • 3.10 Sample Size
        02:22
      • 3.11 Hypothesis Testing Roadmap
        01:55
      • 3.12 Quick Recap
        01:01
      • Knowledge Check
    • Lesson 04: Hypothesis Testing with Normal Data

      30:23
      • 4.01 Introduction
        00:35
      • 4.02 Normal Data
        02:15
      • 4.03 One-Sample T-Test
        02:11
      • 4.04 One-Sample T-Test - Sample Size
        02:20
      • 4.05 Demo One Sample t-Test
        03:17
      • 4.06 Two-Sample T-Test
        00:59
      • 4.07 Two-Sample T-Test Example
        03:01
      • 4.08 Demo Two : Sample t Test
        02:28
      • 4.09 Demo: Bartlett Test
        02:05
      • 4.10 Paired T-Test
        01:06
      • 4.11 Demo: Paired T Test
        01:50
      • 4.12 ANOVA
        02:20
      • 4.13 Demo: ANOVA
        03:14
      • 4.14 Residual Plots
        01:36
      • 4.15 Quick Recap
        01:06
      • Knowledge Check
    • Lesson 05: Hypothesis Testing with Non Normal Data

      27:28
      • 5.01 Introduction
        00:30
      • 5.02 Non Parametric tests
        01:08
      • 5.03 Mann Whitney Test
        00:16
      • 5.04 Demo: Mann Whitney Test
        01:03
      • 5.05 Kruskal Wallis Test
        00:17
      • 5.06 Demo: Kruskal Wallis Test
        01:05
      • 5.07 Mood’s Median Test
        00:17
      • 5.08 Demo: Moods Median Test
        01:13
      • 5.09 Friedman Test
        00:30
      • 5.10 Demo: Friedman Test
        01:07
      • 5.11 One Sample Sign Test
        00:29
      • 5.12 Demo: One Sample Sign Test
        01:34
      • 5.13 One Sample Wilcoxon Test
        00:22
      • 5.14 Demo: One Sample Wilcoxon Test
        01:10
      • 5.15 One-Sample Proportion Tests
        00:26
      • 5.16 Demo: one Sample Proportion Test
        01:41
      • 5.17 Two Sample Proportion Tests
        00:17
      • 5.18 Demo: Two Sample Proportion Test
        01:18
      • 5.19 Chi Square Tests
        00:39
      • 5.20 Demo: Chi-Square Test of Independence
        01:18
      • 5.21 Chi-Square Goodness-of-Fit Test
        00:34
      • 5.22 Demo: Chi-Square Goodness of Fit
        01:35
      • 5.23 Chi-Square Cross Tabulation
        00:29
      • 5.24 Demo: Chi-Square Cross Tabulation
        01:16
      • 5.25 Levene F Test
        04:24
      • 5.26 Quick Recap
        00:53
      • 5.28 Exercise One
        00:59
      • 5.29 Exercise Two
        00:38
      • Knowledge Check
  • Section 05: Improve Phase

    • Lesson 01: Simple Linear Regression

      17:24
      • 1.01 Introduction to Improve Phase
        00:58
      • 1.02 Learning Objectives
        00:29
      • 1.03 Correlation
        01:36
      • 1.04 Demo: Correlation
        01:09
      • 1.05 Demo Correlation Test using Scatter Plot
        01:01
      • 1.06 Correlation and Causation
        01:55
      • 1.07 Predictor Measures and Results
        03:11
      • 1.08 Correlation Coefficients
        01:16
      • 1.09 Regression Analysis
        01:29
      • 1.10 Demo: Regression
        02:03
      • 1.11 Residual Analysis
        01:09
      • 1.12 Quick Recap
        01:08
      • Knowledge Check
    • Lesson 02: Multiple Regression Analysis

      18:38
      • 2.01 Introduction
        00:38
      • 2.02 Multi-Vari Analysis
        01:37
      • 2.03 Demo: MultiVari Analysis
        01:22
      • 2.04 Non Linear Regression
        01:18
      • 2.05 Multiple Linear Regression
        01:39
      • 2.06 Demo: Multiple Linear Regression
        02:57
      • 2.07 Variance Inflation Factor VIF
        03:17
      • 2.08 Variance Inflation Factor VIF Example
        00:44
      • 2.09 Confidence Interval in Multiple Linear Regression
        01:45
      • 2.10 Box-Cox Transformation
        01:23
      • 2.11 Demo: Box-Cox Transformation
        01:09
      • 2.12 Quick Recap
        00:49
      • Knowledge Check
    • Lesson 03: Designed Experiments

      13:56
      • 3.01 Introduction
        00:34
      • 3.02 Designed Experiments
        02:46
      • 3.03 Phases of DOE Process
        02:40
      • 3.04 Optimization and Confirmation
        00:50
      • 3.05 Types of DOE Strategies
        02:00
      • 3.06 Full Factorial and Fractional Factorial Approaches
        02:26
      • 3.07 Experimental Design Considerations
        01:53
      • 3.08 Quick recap
        00:47
      • Knowledge Check
    • Lesson 04: Factorial Experiments

      21:46
      • 4.01 Introduction
        00:37
      • 4.02 Factorial Designs
        00:58
      • 4.03 Full Factorial Experiments
        01:20
      • 4.04 Demo: Full Factorial Experiments
        07:21
      • 4.05 Quadratic Models
        00:54
      • 4.06 Types of Response Surface Designs
        02:46
      • 4.07 Balanced and Orthogonal Designs
        02:03
      • 4.08 Center Points
        01:52
      • 4.09 Fractional Factorial Experiment
        01:28
      • 4.10 Confounding
        01:32
      • 4.11 Quick Recap
        00:55
      • Knowledge Check
  • Section 06: Control Phase

    • Lesson 01: Lean Controls

      16:25
      • 1.01 Introduction to Control Phase
        00:54
      • 1.02 Learning Objectives
        00:26
      • 1.03 Control Methods of Five S
        01:49
      • 1.04 Sort
        00:55
      • 1.05 Set in Order
        01:30
      • 1.06 Shine Standardize and Sustain
        01:18
      • 1.07 Kanban
        01:01
      • 1.08 Kanban Principles
        01:21
      • 1.09 Six Steps to Implement Kanban
        03:18
      • 1.10 Poka Yoke or Mistake Proofing
        01:25
      • 1.11 Mistake Proofing Examples
        01:21
      • 1.12 Quick Recap
        01:07
      • Knowledge Check
    • Lesson 02: Statistical Process Control

      36:22
      • 2.01 Introduction
        00:31
      • 2.02 Statistical Process Control Purpose
        02:24
      • 2.03 Control Charts
        01:28
      • 2.04 Control Charts: Objectives
        01:45
      • 2.05 Control Charts: Uses
        01:38
      • 2.06 Control Charts: Types
        02:08
      • 2.07 Control Charts: Steps
        01:06
      • 2.08 Subgroup
        01:48
      • 2.09 Consideration for Rational Subgrouping
        01:26
      • 2.10 Charts for Attribute Data
        01:53
      • 2.11 Tests for Special Causes
        02:27
      • 2.12 Demo: I-MR Chart
        02:09
      • 2.13 Demo: X-Bar R Chart
        02:16
      • 2.14 Demo: XBar-S Chart
        01:37
      • 2.15 Demo: P-Chart
        01:42
      • 2.16 Demo: NP-Chart
        01:55
      • 2.17 Demo: U-Chart
        01:52
      • 2.18 Demo: C-Chart
        01:53
      • 2.19 Demo: CUSUM-Chart
        01:36
      • 2.20 Demo: EWMA-Chart
        01:35
      • 2.21 Quick Recap
        01:13
      • Knowledge Check
    • Lesson 03: Six Sigma Control Plans

      24:22
      • 3.01 Introduction
        00:34
      • 3.02 Project Cost Benefit Analysis
        01:20
      • 3.03 Return on Investment
        02:23
      • 3.04 Cost Benefit Analysis
        01:17
      • 3.05 Cost Benefit Analysis: Steps
        01:26
      • 3.06 NPV and IRR
        01:31
      • 3.07 Selecting the Right Solutions
        02:22
      • 3.08 Implementation of Proposed Solutions Roadmap
        00:45
      • 3.09 Control Plan
        01:39
      • 3.10 Elements of a Control Plan
        02:15
      • 3.11 Control Plan Training
        02:09
      • 3.12 Response Plan
        01:04
      • 3.13 Project Closure
        02:28
      • 3.14 Quick Recap
        01:50
      • Knowledge Check
      • 3.16 Activity
        01:19

Why you should learn Six Sigma Black Belt

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FAQs

  • What are the requirements to learn the Lean Six Sigma Black Belt basics program?

    Some degree of real-world Lean Six Sigma work experience is recommended but not mandatory to take this Six Sigma Black Belt fundamentals program.

  • How do beginners learn Six Sigma Black Belt fundamentals?

    Starting a career in quality management may be a daunting task for many. So, beginners can get acquainted with Six Sigma by following Simplilearn’s articles and video tutorials made on this field. 

  • Is the Six Sigma Black Belt basics program easy to learn?

    The ability to grasp the Six Sigma Black Belt concepts depends on the learner’s prior knowledge of the subject. However, the topics covered in this Six Sigma Black Belt basics program are explained clearly and learners can follow them without any difficulty.

  • Can I complete this Lean Six Sigma Black Belt basics program in 90 days?

    Yes, this Six Sigma Black Belt foundations program can be completed within 90 days.

  • Can I complete this Lean Six Sigma Black Belt basics program in 90 days?

    Yes, this Six Sigma Black Belt foundations program can be completed within 90 days.

  • What are my next best learning options after completing this Six Sigma Black Belt fundamentals program?

    After completing this Six Sigma Black Belt basics training program, you can continue your learning by enrolling in other courses like Lean Six Sigma Expert Master’s Program or Post Graduate Program in Lean Six Sigma.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.