Course Overview

Training Options

Self-Paced Learning

$ 399

  • Lifetime access to high-quality self-paced e-learning content curated by industry experts
  • 24x7 learner assistance and support

Corporate Training

Customized to your team's needs

  • Blended learning delivery model (self-paced eLearning and/or instructor-led options)
  • Flexible pricing options
  • Enterprise grade Learning Management System (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support

Course Curriculum

Course Content

  • Section 01: Course Introduction

    Preview
    • Lesson 01: Course Introduction

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

    Preview
    • Lesson 01: The Basics of Six Sigma

      38:36Preview
      • 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

      20:40Preview
      • 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

      33:58Preview
      • 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 Tuckman's 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

      34:25Preview
      • 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

    Preview
    • Lesson 01: Process Definition

      38:15Preview
      • 1.01 Introduction to Measure Phase
        01:09
      • 1.02 Learning Objectives
        00:39
      • 1.03 Tools to Define a 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

      52:41Preview
      • 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

      21:56Preview
      • 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

      36:33Preview
      • 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
      • 4.23 Solution
        00:58
      • Knowledge Check
  • Section 04: Analyze Phase

    Preview
    • Lesson 01: Classes of Distribution

      13:23Preview
      • 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

      06:32Preview
      • 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

      24:47Preview
      • 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

      30:23Preview
      • 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

      27:28Preview
      • 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

    Preview
    • Lesson 01: Simple Linear Regression

      17:24Preview
      • 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

      18:38Preview
      • 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

      13:56Preview
      • 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

      21:46Preview
      • 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

    Preview
    • Lesson 01: Lean Controls

      16:25Preview
      • 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

      36:22Preview
      • 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: XBar 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

      24:22Preview
      • 3.01 Introduction
        00:34
      • 3.02 Project Cost Benefit Analysis
        01:20
      • 3.03 Return on Investment (ROI)
        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: Guidelines
        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

Exam & Certification

    Why Join this Program

    • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
    • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
    • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
    • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts
    • Acknowledgement
    • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.