Course description

  • What are the course objectives?

    The Lean Six Sigma Black Belt (LSSBB) Certification is designed to help you master the combined concepts of Lean and Six Sigma methodologies. Lean Six Sigma has emerged as a popular business management strategy applied to projects globally. It helps a company achieve process excellence initiatives, accelerate product delivery, improve product quality, and drive increased profits to an organization. Lean Six Sigma Black Belt certification demonstrates one’s ability to deploy these skills in enterprise-wide projects
     
    Our Six Sigma Black Belt training and certification program is modeled 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.
     
    Once the Lean Six Sigma Black Belt training is complete, participants will be able to implement the concepts of Lean, Design for Six Sigma (DFSS), Six Sigma Define, Measure, Analyze, Improve and Control (DMAIC) and Total Productive Maintenance (TPM) using statistical tools and analysis.

  • What skills will you learn?

    At the end of Simplilearn’s Lean Six Sigma Black Belt training, you will gain knowledge of the following:
     

    • 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.

  • What career benefits are in store for you?

    Becoming certified in Lean Six Sigma Black Belt can open up a plethora of new career opportunities and an hefty increase in salary. Those who are trained in this methodology are highly respected and sought after in their field. Lean Six Sigma Black Belt training gives dedicated professionals a fast track to a more successful career. This certification:  
     
    Demonstrates your ability to apply highly complex enterprise- wide DMAIC projects.
    Positions you to integrate Lean Six Sigma as a long-term continuous improvement philosophy in you organization.
    Improves your ability to employ problem solving and business know-how on the job to enhance internal processes.
     
    According to recent surveys by sixsigma.com, the median salary for certified professionals in this field is approximately $83,107 per year and can go as high as $175,000.

  • Who should take this course?

    Simplilearn’s course in Lean Six Sigma Black Belt is designed to meet the requirements of the following categories of professionals:

    • Senior Management (especially if the company intends to implement Lean Six Sigma)
    • Team Leaders
    • Software Professionals
    • Project Managers
    • Quality Assurance Engineers
    • Software Quality Assurance Team Members
    • Management Students

Course preview

    • Section 00 - Six Sigma Black Belt 07:12
      • 0.1 Welcome 00:09
      • 0.2 Six Sigma Black Belt 00:32
      • 0.3 Agenda 00:48
      • 0.4 What is SSBB 01:43
      • 0.5 Accreditation Institute 01:18
      • 0.6 Target Audience 00:48
      • 0.7 SSBB Exam Format 00:56
      • 0.8 Simplilearn LSSBB Course Offer 00:53
      • 0.9 Thank You 00:05
    • Section 01 - Overview 1:57:45
      • 1.1 Welcome 00:08
      • 1.2 Overview 00:26
      • 1.3 Agenda 01:19
      • 1.4 Lesson 1 About LSSBB 00:15
      • 1.5 Agenda 00:32
      • 1.6 What is Six Sigma 02:02
      • 1.7 Six Sigma Roles and Responsibilities 02:44
      • 1.8 About SSBB 01:54
      • 1.9 LSSBB Roles and Responsibilities 02:37
      • 1.10 Summary 00:55
      • 1.11 Lesson 2 Organizational Roadblocks 00:29
      • 1.12 Agenda 00:38
      • 1.13 Traditional Organization versus Customer Driven Organization 01:36
      • 1.14 Types of Organizational Roadblocks 01:21
      • 1.15 Types of Organizational Roadblocks(Contd.) 01:24
      • 1.16 Types of Organizational Roadblocks(Contd.) 01:11
      • 1.17 Types of Organizational Roadblocks(Contd.) 01:07
      • 1.18 Types of Organizational Roadblocks(Contd.) 00:59
      • 1.19 Types of Organizational Roadblocks(Contd.) 01:14
      • 1.20 Types of Organizational Roadblocks(Contd.) 01:34
      • 1.21 Change Resistance Curve 00:51
      • 1.22 Change Resistance Curve(Contd.) 01:38
      • 1.23 Change Resistance Curve(Contd.) 01:25
      • 1.24 Common Resistance Points 00:56
      • 1.25 Common Resistance Points(Contd.) 02:00
      • 1.26 Overcoming Resistance Points 01:06
      • 1.27 Force Field Analysis 00:47
      • 1.28 Force Field Analysis(Contd.) 01:13
      • 1.29 Force Field Analysis(Contd.) 01:14
      • 1.30 Force Field Analysis(Contd.) 00:55
      • 1.31 Summary 01:12
      • 1.32 Lesson 3 Role of Communication and Selection Criteria in Black Belt 00:10
      • 1.33 Agenda 00:38
      • 1.34 Black Belt Role Summary 01:05
      • 1.35 Black Belt Communication Expectations 01:51
      • 1.36 Black Belt Selection Criteria 01:05
      • 1.37 Summary 00:32
      • 1.38 Lesson 4 Overview of Continuous Improvement 00:07
      • 1.39 Agenda 00:29
      • 1.40 Continual Improvement Process 01:25
      • 1.41 Continuous versus Continual Improvement 01:20
      • 1.42 Kaizen Continual Improvement 02:23
      • 1.43 Kaizen Continual Improvement(Contd.) 02:15
      • 1.44 Summary 00:27
      • 1.45 Lesson 5 Lean An Overview 00:26
      • 1.46 Agenda 00:24
      • 1.47 What is Lean 00:46
      • 1.48 History of Lean 01:18
      • 1.49 Principles of Lean 01:19
      • 1.50 Key Benefits of Implementing Lean 01:52
      • 1.51 Key Benefits of Implementing Lean(Contd.) 00:49
      • 1.52 Why Lean before Six Sigma 01:43
      • 1.53 Summary 00:39
      • 1.54 Lesson 6 Lean Concepts Explained 00:26
      • 1.55 Agenda 00:39
      • 1.56 Warusa Kagen 01:07
      • 1.57 Warusa Kagen(Contd.) 00:51
      • 1.58 3Ms 00:59
      • 1.59 8 Types of Waste (TIMWOODS) 02:33
      • 1.60 Mottainai 01:06
      • 1.61 Hoshin Kanri 00:45
      • 1.62 Hoshin Kanri(Contd.) 00:58
      • 1.63 Hoshin Kanri(Contd.) 03:14
      • 1.64 Takt Time 01:02
      • 1.65 Takt Time(Contd.) 01:39
      • 1.66 Cycle Time 01:48
      • 1.67 Lead Time 01:31
      • 1.68 Lead Time Assignment 00:40
      • 1.69 Lead Time Assignment(Contd.) 01:32
      • 1.70 Production Cycle Efficiency 01:19
      • 1.71 Batch Size 01:05
      • 1.72 Every Part Every Interval(EPEI) 00:30
      • 1.73 EPEI(Contd.) 01:52
      • 1.74 EPEI(Contd.) 01:11
      • 1.75 EPEI Calculation Spreadsheet 00:16
      • 1.76 Batch Size Assignment 01:25
      • 1.77 Batch Size Assignment(Contd.) 01:19
      • 1.78 Batch Size Assignment(Contd.) 00:57
      • 1.79 Batch Size Assignment(Contd.) 01:21
      • 1.80 Batch Size Assignment(Contd.) 00:52
      • 1.81 Crew Size 00:54
      • 1.82 Crew Size Assignment 01:04
      • 1.83 Crew Size Assignment(Contd.) 01:06
      • 1.84 Crew Size Assignment(Contd) 01:12
      • 1.85 Standardized Working Progress(SWIP) 01:26
      • 1.86 Summary 01:12
      • 1.87 Lesson 7 Lean Tools Explained 00:20
      • 1.88 Agenda 00:19
      • 1.89 5S 00:58
      • 1.90 5S(Contd.) 00:59
      • 1.91 5S Audit Worksheet 00:16
      • 1.92 SMED 01:58
      • 1.93 SMED(Contd.) 01:23
      • 1.94 Heijunka 01:26
      • 1.95 Heijunka An Example 01:09
      • 1.96 Genchi Genbutsu 01:37
      • 1.97 Value Stream Mapping(VSM) 01:26
      • 1.98 VSM Symbols 00:24
      • 1.99 Value Stream Mapping(Contd.) 00:56
      • 1.100 Value Stream Mapping(Contd.) 03:11
      • 1.101 Summary 00:42
      • 1.102 Quiz
      • 1.103 Thank You 00:05
    • Section 02 - DFSS, Pre-define and Define (DMAIC) 1:27:05
      • 2.1 Welcome 00:07
      • 2.2 Agenda 00:44
      • 2.3 DFSS Pre Define and Define(DMAIC) 00:12
      • 2.4 DFSS Design for Six Sigma and DMAIC versus DFSS 00:18
      • 2.5 Agenda 00:52
      • 2.6 Agenda(Contd.) 00:36
      • 2.7 Design for Six Sigma(DFSS) 01:47
      • 2.8 DFSS Approach to Problem Solving 01:12
      • 2.9 DMAIC Approach to Problem Solving 01:09
      • 2.10 DMAIC versus DFSS 01:27
      • 2.11 DFSS Tools 00:51
      • 2.12 Toll Gate Review 00:57
      • 2.13 Benchmarking 01:15
      • 2.14 MSA 01:36
      • 2.15 VOC 01:27
      • 2.16 Needs Vs Requirements 02:17
      • 2.17 KJ Diagram 01:12
      • 2.18 Quality Function Deployment(QFD) 01:14
      • 2.19 Kano Model 02:34
      • 2.20 Kano Model(Contd.) 00:59
      • 2.21 Kano Model(Contd.) 01:42
      • 2.22 HOQ 01:02
      • 2.23 HOQ(Contd.) 01:20
      • 2.24 HOQ(Contd.) 00:14
      • 2.25 AHP 01:52
      • 2.26 AHP(Contd.) 01:03
      • 2.27 Pugh Matrix for Concept Selection 01:22
      • 2.28 Pugh Matrix for Concept Selection(Contd.) 00:52
      • 2.29 Sample Pugh Matrix 02:36
      • 2.30 Monte Carlo Simulation 01:13
      • 2.31 Design for X 01:04
      • 2.32 Summary 00:57
      • 2.33 Lesson 2 Pre Define Activities 00:12
      • 2.34 Agenda 01:08
      • 2.35 Prerequisites of a Six Sigma Project 01:14
      • 2.36 Qualifications of a Six Sigma Project 01:07
      • 2.37 Cornerstones of a Six Sigma Project 01:22
      • 2.38 Six Sigma Deployment Cycle Plan 01:49
      • 2.39 10 Point Ongoing Project Evaluation 01:07
      • 2.40 Project Prioritization Matrix 01:02
      • 2.41 Project Prioritization Matrix(Contd.) 01:31
      • 2.42 Enterprise Wide versus LOB View 01:10
      • 2.43 Enterprise Wide Roles and Responsibilities 01:23
      • 2.44 NPV(Net Present Value) 02:07
      • 2.45 Internal Rate of Return(IRR) 01:06
      • 2.46 NPV and IRR An Example
      • 2.47 NPV and IRR An Example(Contd.) 01:40
      • 2.48 Summary 00:56
      • 2.49 Lesson 3 Define 00:12
      • 2.50 Agenda 01:41
      • 2.51 Define Key Objectives 00:49
      • 2.52 Voice of Customer 01:05
      • 2.53 Voice of Business 00:55
      • 2.54 Voice of Process 00:56
      • 2.55 VOC VOB and VOP 01:02
      • 2.56 Kano Model 01:09
      • 2.57 Assignment 00:59
      • 2.58 Translation to Project Y 00:57
      • 2.59 Quality Function Deployment 01:25
      • 2.60 Quality Function Deployment(Contd.) 00:57
      • 2.61 Quality Function Deployment An Example 00:36
      • 2.62 Process Map 00:53
      • 2.63 Y Baseline Performance 01:10
      • 2.64 Y Baseline Performance(Contd.) 01:14
      • 2.65 SIPOC 00:58
      • 2.66 Project Charter 01:25
      • 2.67 The Problem Statement and the Goal Statement 01:26
      • 2.68 RACI Matrix 00:49
      • 2.69 Business Metrics 01:16
      • 2.70 Business Metrics(Contd.) 01:20
      • 2.71 Project Deliverables 01:25
      • 2.72 Project Scheduling 01:06
      • 2.73 Team Selection 01:08
      • 2.74 Define Roles and Responsibilities 01:06
      • 2.75 Define Tools Summary 00:29
      • 2.76 Lesson 3 Summary 01:37
      • 2.77 Quiz
      • 2.78 Thank You 00:03
    • Section 03 - Measure 2:00:10
      • 3.1 Measure 00:11
      • 3.2 Introduction to MEASURE 00:22
      • 3.3 Agenda 02:00
      • 3.4 Pre Measure Considerations and Tools 00:20
      • 3.5 Agenda 00:13
      • 3.6 Define Phase Toll Gate Review 01:08
      • 3.7 DFMEA 01:14
      • 3.8 DFMEA(Contd.) 00:52
      • 3.9 DFMEA(Contd.) 00:20
      • 3.10 DFMEA(Contd.) 00:20
      • 3.11 DFMEA(Contd.) 01:19
      • 3.12 Cause and Effect Matrix(CE Matrix) 01:02
      • 3.13 Cause and Effect Matrix(Contd.) 00:57
      • 3.14 Cause and Effect Matrix(CE Matrix)(Contd.) 00:33
      • 3.15 Cause and Effect Matrix(CE Matrix)(Contd.) 00:30
      • 3.16 Cause and Effect Matrix(CE Matrix)(Contd.) 00:36
      • 3.17 Cause and Effect Matrix(Contd.) 00:22
      • 3.18 Summary 00:19
      • 3.19 Types of Data and Measurement Scales 00:14
      • 3.20 Agenda 00:20
      • 3.21 Objectives of Measure Phase 01:08
      • 3.22 What is a Process 00:55
      • 3.23 Flowcharts 01:41
      • 3.24 SIPOC 01:01
      • 3.25 SIPOC(Contd.) 01:20
      • 3.26 SIPOC(Contd.) 00:16
      • 3.27 Metrics 00:55
      • 3.28 Measurement Scales 01:00
      • 3.29 Measurement Scales(Contd.) 00:42
      • 3.30 Measurement Scales(Contd.) 01:00
      • 3.31 Types of Data 01:04
      • 3.32 Types of Data(Contd.) 01:01
      • 3.33 Summary 00:24
      • 3.34 Central Tendency and Dispersion 00:15
      • 3.35 Agenda 00:34
      • 3.36 Central Tendency and Dispersion Introduction 00:57
      • 3.37 Mean 00:33
      • 3.38 Mean(Contd.) 01:16
      • 3.39 Median 00:49
      • 3.40 Mode 01:11
      • 3.41 Range 01:22
      • 3.42 Variance 01:01
      • 3.43 Standard Deviation 00:53
      • 3.44 Mean Deviation 00:43
      • 3.45 Summary 00:25
      • 3.46 Measurement System Analysis 00:19
      • 3.47 Agenda 00:53
      • 3.48 Purpose of Measurement System Analysis 00:49
      • 3.49 Measurement System Errors 00:59
      • 3.50 Measurement System Errors(Contd.) 00:24
      • 3.51 Measurement System Errors(Contd.) 00:57
      • 3.52 Properties of Good Measurement Systems 01:07
      • 3.53 Measurement System Errors Illustrated 01:06
      • 3.54 Measurement System Discrimination 00:32
      • 3.55 Bias 00:40
      • 3.56 Bias(Contd.) 01:29
      • 3.57 Measurement System Analysis Process Flow 00:46
      • 3.58 Part Variation 00:49
      • 3.59 Measurement System Analysis Formulas 01:20
      • 3.60 Measurement Systems Analysis Example 01:00
      • 3.61 Measurement Systems Analysis Example(Contd.) 00:07
      • 3.62 Measurement Systems Analysis Graphs 00:34
      • 3.63 Measurement Systems Analysis Graphs(Contd.) 00:26
      • 3.64 Measurement Systems Analysis Graphs(Contd.) 00:56
      • 3.65 Assignment 00:53
      • 3.66 Attribute RR 00:57
      • 3.67 Attribute RR(Contd.) 00:46
      • 3.68 Attribute RR(Contd.) 00:13
      • 3.69 Attribute RR(Contd.) 01:08
      • 3.70 Attribute RR(Contd.) 00:36
      • 3.71 Attribute RR(Contd.) 00:35
      • 3.72 Attribute RR(Contd.) 00:49
      • 3.73 Attribute RR(Contd.) 00:23
      • 3.74 Attribute RR(Contd.) 00:27
      • 3.75 Attribute RR(Contd.) 01:13
      • 3.76 When to Do Measurement System Analysis 00:33
      • 3.77 Data Collection Plan 01:17
      • 3.78 Data Collection Plan Template and Example 00:41
      • 3.79 Summary 00:39
      • 3.80 Stability Conditions 00:15
      • 3.81 Agenda 00:36
      • 3.82 Controlled Process and Variation 00:37
      • 3.83 Special Causes of Variation 01:10
      • 3.84 Common Causes of Variation 01:18
      • 3.85 Common Causes of Variation(Contd.) 01:10
      • 3.86 Stability Introduction and SPC 01:52
      • 3.87 Stability Check with Minitab 00:27
      • 3.88 Stability Check with Minitab(Contd.) 01:22
      • 3.89 Stability Check with Minitab(Contd.) 00:57
      • 3.90 Stability Check with Minitab(Contd.) 00:40
      • 3.91 Stability Check using Run Charts 00:34
      • 3.92 Stability Conditions 00:55
      • 3.93 Central Limit Theorem 00:56
      • 3.94 Summary 00:34
      • 3.95 Capability Metrics 00:16
      • 3.96 Agenda 00:18
      • 3.97 Process Capability Pre Considerations 01:38
      • 3.98 Process Capability Pre Considerations(Contd.) 00:55
      • 3.99 Process Capability Pre Considerations(Contd.) 00:58
      • 3.100 Process Capability Pre Considerations(Contd.) 01:01
      • 3.101 Process Capability Pre Considerations(Contd.) 00:59
      • 3.102 Process Capability Pre Considerations(Contd.) 00:07
      • 3.103 Process Capability Pre Considerations(Contd.)
      • 3.104 Process Capability Pre Considerations(Contd.)
      • 3.105 Process Capability Pre Considerations(Contd.) 00:43
      • 3.106 Process Capability Indices for Continuous Data 00:51
      • 3.107 Process Capability Indices for Continuous Data(Contd.) 01:12
      • 3.108 Process Capability Indices for Continuous Data(Contd.) 00:45
      • 3.109 Process Capability Indices Interpretation 00:47
      • 3.110 Process Capability for Discrete Data 00:59
      • 3.111 Process Capability for Discrete Data(Contd.) 00:22
      • 3.112 Process Capability for Discrete Data(Contd.) 00:14
      • 3.113 Non Normal Capability Analysis 01:00
      • 3.114 Non Normal Capability Analysis(Contd.) 00:32
      • 3.115 Non Normal Capability Analysis(Contd.) 00:29
      • 3.116 Non Normal Capability Analysis(Contd.) 00:36
      • 3.117 Non Normal Capability Analysis(Contd.) 01:46
      • 3.118 Non Normal Capability Analysis(Contd.) 01:00
      • 3.119 Assignment 01:02
      • 3.120 Summary 00:43
      • 3.121 Variations Variability Capability and Process Conditions 00:18
      • 3.122 Agenda 00:11
      • 3.123 Variations and Variability 01:31
      • 3.124 Variations and Variability(Contd.)
      • 3.125 Variations and Variability(Contd.) 00:54
      • 3.126 Capability and Process Conditions 01:03
      • 3.127 Summary 00:10
      • 3.128 Data Distributions 00:13
      • 3.129 Agenda 00:33
      • 3.130 Permutations and Combinations 01:19
      • 3.131 Permutations and Combinations(Contd.) 01:05
      • 3.132 Frequency and Cumulative Distributions 00:56
      • 3.133 Binomial Distribution 00:55
      • 3.134 Binomial Distribution(Contd.) 01:29
      • 3.135 Binomial Distribution(Contd.) 00:35
      • 3.136 Binomial Distribution(Contd.) 00:40
      • 3.137 Poisson Distribution 01:22
      • 3.138 Poisson Distribution(Contd.) 00:54
      • 3.139 Poisson Distribution(Contd.) 01:03
      • 3.140 Normal Distribution 00:49
      • 3.141 Normal Distribution(Contd.) 00:58
      • 3.142 Exponential Distribution 00:41
      • 3.143 Exponential Distribution 01:13
      • 3.144 Summary 00:23
      • 3.145 Sigma Shift Mean Shift and Reducing Variations 00:08
      • 3.146 Agenda 00:12
      • 3.147 Sigma Shift 01:00
      • 3.148 Mean Shift or Reducing Variations 01:19
      • 3.149 Mean Shift or Reducing Variations(Contd.) 00:48
      • 3.150 Baseline Data 00:28
      • 3.151 Summary 00:11
      • 3.152 Measure Phase Summary 00:49
      • 3.153 Measure Activity Summary 00:34
      • 3.154 Measure Tools Summary 00:46
      • 3.155 Quiz
      • 3.156 Thank You 00:03
    • Section 04 - Analyze 1:57:16
      • 4.1 Welcome 00:11
      • 4.2 Analyze 00:19
      • 4.3 Agenda 01:59
      • 4.4 Lesson 1 Pre Analyze Considerations 00:16
      • 4.5 Agenda 00:28
      • 4.6 Analyze Phase Introduction 00:18
      • 4.7 Pre Analyze Considerations 01:04
      • 4.8 Pre Analyze Considerations(Contd.) 00:39
      • 4.9 Objectives of Analyze 00:55
      • 4.10 Visually Displaying Data 01:58
      • 4.11 Summary 00:34
      • 4.12 Lesson 2 Value Stream Analysis 00:18
      • 4.13 Agenda 00:26
      • 4.14 Value Waste and NVA Activities 01:14
      • 4.15 What is a Value Stream 01:25
      • 4.16 Value Stream Example 01:09
      • 4.17 Value Stream Analysis Muda 01:08
      • 4.18 Value Stream Analysis Muda(Contd.) 01:31
      • 4.19 Value Stream Map 00:16
      • 4.20 Value Stream Map(Contd.) 01:18
      • 4.21 Spaghetti Charts 01:21
      • 4.22 Spaghetti Chart As Is 00:21
      • 4.23 Spaghetti Chart Should Be 00:27
      • 4.24 Spaghetti Charts(Contd.) 00:32
      • 4.25 Summary 00:17
      • 4.26 Lesson 3 Sources of Variation 00:07
      • 4.27 Agenda 00:27
      • 4.28 Sources of Variation 02:01
      • 4.29 Sources of Variation(Contd.) 01:05
      • 4.30 Cause and Effect Diagram 01:23
      • 4.31 Cause and Effect Diagram(Contd.) 00:31
      • 4.32 Cause and Effect Diagram(Contd.) 00:49
      • 4.33 Cause and Effect Diagram(Contd.) 00:14
      • 4.34 Affinity Diagram 01:35
      • 4.35 Box Plot 01:16
      • 4.36 Box Plot(Contd.) 00:17
      • 4.37 Box Plot(Contd.) 00:28
      • 4.38 Box Plot(Contd.) 01:09
      • 4.39 Box Plot(Contd.) 00:21
      • 4.40 Summary 00:24
      • 4.41 Lesson 4 Regression 00:15
      • 4.42 Agenda 00:31
      • 4.43 Objectives of Regression Analysis 01:05
      • 4.44 Concepts of Regression Analysis 01:17
      • 4.45 Concepts of Regression Analysis(Contd.) 01:17
      • 4.46 Simple Linear Regression 01:14
      • 4.47 Simple Linear Regression(Contd.) 00:25
      • 4.48 Simple Linear Regression(Contd.) 01:48
      • 4.49 Simple Linear Regression(Contd.) 00:53
      • 4.50 Simple Linear Regression(Contd.) 00:31
      • 4.51 Simple Linear Regression(Contd.) 01:13
      • 4.52 Multiple Linear Regression 01:05
      • 4.53 Multiple Linear Regression(Contd.) 00:22
      • 4.54 Multiple Linear Regression(Contd.) 01:53
      • 4.55 Multiple Linear Regression(Contd.) 02:05
      • 4.56 Multiple Linear Regression(Contd.) 00:30
      • 4.57 Multiple Linear Regression(Contd.) 01:41
      • 4.58 Multiple Linear Regression(Contd.) 00:50
      • 4.59 Multiple Linear Regression(Contd.).mp4 01:16
      • 4.60 Multiple Linear Regression(Contd.) 00:52
      • 4.61 Best Subsets Regression and Stepwise Regression 01:03
      • 4.62 Summary 00:26
      • 4.63 Lesson 5 Confidence Intervals 00:12
      • 4.64 Agenda 00:40
      • 4.65 Concepts of Confidence Intervals and Confidence Intervals Testing 01:16
      • 4.66 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.) 00:46
      • 4.67 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.) 01:11
      • 4.68 Concepts of Confidence Intervals and Confidence Intervals Testing(Contd.) 00:54
      • 4.69 Confidence Intervals for Difference between Two Means 00:44
      • 4.70 Confidence Intervals Working 01:33
      • 4.71 Confidence Intervals Working(Contd.) 01:26
      • 4.72 Confidence Intervals Impactors 01:14
      • 4.73 Chi Square Confidence Intervals for Variances 00:33
      • 4.74 Chi-Square Confidence Intervals for Variances(Contd.) 01:00
      • 4.75 Z Confidence Intervals for Proportions 01:02
      • 4.76 Chi Square and Probability 01:07
      • 4.77 T Distribution Confidence Intervals 01:12
      • 4.78 Summary 00:30
      • 4.79 Lesson 5 Parametric Hypothesis Testing 00:16
      • 4.80 Agenda 00:42
      • 4.81 Agenda(Contd.) 00:31
      • 4.82 Hypothesis Testing Objective 00:55
      • 4.83 Hypothesis Testing Concepts 00:35
      • 4.84 Null and Alternate Hypothesis 00:56
      • 4.85 Type 1 Error 01:07
      • 4.86 Type II Error 01:10
      • 4.87 Significance Level (α) 00:56
      • 4.88 Significance Level (α) (Contd.) 00:52
      • 4.89 Type II Error (Contd.) 01:02
      • 4.90 β and Power 00:58
      • 4.91 P Value, and Acceptance and Rejection Conditions 00:52
      • 4.92 Sample Size Determination for Tests 00:54
      • 4.93 1 Sample z Test 00:55
      • 4.94 1 Sample z Test(Contd.) 00:48
      • 4.95 1 Sample z Test(Contd.) 00:52
      • 4.96 2 Sample z test 00:54
      • 4.97 f Test of Equality of Variances 00:47
      • 4.98 1 Sample t Test 00:53
      • 4.99 1 Sample t Test(Contd.) 00:32
      • 4.100 2 Sample t Test 01:03
      • 4.101 2 Sample t Test 00:30
      • 4.102 2 Sample t Test 00:56
      • 4.103 Paired t Test 00:37
      • 4.104 Paired t Test(Contd.) 00:07
      • 4.105 Paired t Test Interpretation 00:57
      • 4.106 Paired t Test(Contd.) 00:28
      • 4.107 Paired t Test(Contd.) 00:42
      • 4.108 ANOVA 00:49
      • 4.109 One Way ANOVA 00:35
      • 4.110 Two Way ANOVA with Replication 00:44
      • 4.111 Two Way ANOVA with Replication(Contd.) 00:23
      • 4.112 Two Way ANOVA with Replication(Contd.) 00:11
      • 4.113 Two Way ANOVA with Replication(Contd.) 01:06
      • 4.114 Summary 00:53
      • 4.115 Lesson 7 Nonparametric Hypothesis Testing 00:16
      • 4.116 Agenda 00:32
      • 4.117 Nonparametric Testing Conditions 02:03
      • 4.118 Mann Whitney Test 00:51
      • 4.119 Mann Whitney Test(Contd.) 00:58
      • 4.120 1 Sample Sign 00:53
      • 4.121 Wilcoxon Sign Rank Test 01:08
      • 4.122 Kruskal Wallis 01:10
      • 4.123 Mood’s Median 01:25
      • 4.124 Friedman ANOVA 00:57
      • 4.125 Friedman ANOVA(Contd.) 00:53
      • 4.126 Summary 01:10
      • 4.127 Lesson 8 Analyze Additionals Categorical Data and Current Reality Tree 00:20
      • 4.128 Agenda 00:19
      • 4.129 Categorical Data Analysis 00:47
      • 4.130 Categorical Data Analysis(Contd.) 00:36
      • 4.131 Categorical Data Analysis(Contd.) 01:05
      • 4.132 Categorical Data Analysis(Contd.) 00:48
      • 4.133 Current Reality Tree 00:55
      • 4.134 Current Reality Tree(Contd.) 00:13
      • 4.135 Summary 00:31
      • 4.136 Activity Summary Analyze 00:49
      • 4.137 Tools Summary Analyze 00:40
      • 4.138 Quiz
      • 4.139 Thank You 00:06
    • Section 05 - Improve 1:57:16
      • 5.1 Welcome 00:07
      • 5.2 Section V Improve 00:30
      • 5.3 Agenda 00:35
      • 5.4 Section V Lesson 1 00:13
      • 5.5 Agenda 00:46
      • 5.6 Pre Improve Considerations 01:01
      • 5.7 Model Adequacy Checking 00:56
      • 5.8 Model Adequacy Checking(Contd.) 01:18
      • 5.9 Model Adequacy Checking(Contd.) 00:52
      • 5.10 Multi Vari Charts 01:00
      • 5.11 7M Tools 02:11
      • 5.12 Activity Network Diagram 01:19
      • 5.13 Point and Interval Estimation 01:07
      • 5.14 Porter s Five Forces 00:55
      • 5.15 Porter s Five Forces (Contd.) 01:43
      • 5.16 Pugh Analysis 01:20
      • 5.17 Lean 5S 01:46
      • 5.18 Summary 00:29
      • 5.19 Section V Lesson 2 Design of Experiments Theory 00:10
      • 5.20 Agenda 00:27
      • 5.21 Introduction to DOE 01:08
      • 5.22 Introduction to DOE(Contd.) 00:56
      • 5.23 Introduction to DOE(Contd.) 00:47
      • 5.24 Introduction to DOE(Contd.) 01:32
      • 5.25 Introduction to DOE(Contd.) 00:52
      • 5.26 Introduction to DOE(Contd.) 01:15
      • 5.27 Types of Designed Experiments 01:18
      • 5.28 Main and Interaction Effects 00:59
      • 5.29 Main and Interaction Effects(Contd.) 00:39
      • 5.30 Main and Interaction Effects(Contd.) 00:51
      • 5.31 Main and Interaction Effects(Contd.) 01:07
      • 5.32 Replication 00:50
      • 5.33 Randomization 01:00
      • 5.34 Blocking 01:04
      • 5.35 Confounding 00:31
      • 5.36 Coding and other DOE Terms 01:23
      • 5.37 Sum of Squares Analysis 00:49
      • 5.38 Sum of Squares Analysis(Contd.) 00:44
      • 5.39 Sum of Squares Analysis(Contd.) 01:31
      • 5.40 Sum of Squares Analysis(Contd.) 01:11
      • 5.41 Sum of Squares Analysis(Contd.) 01:19
      • 5.42 Sum of Squares Analysis(Contd.) 00:31
      • 5.43 Sum of Squares Analysis(Contd.) 00:17
      • 5.44 Summary 00:44
      • 5.45 Section V Lesson 3 Design of Experiments Practice 00:32
      • 5.46 Agenda 00:47
      • 5.47 Introduction to 2 Factor Factorial Design 00:51
      • 5.48 Introduction to 2 Factor Factorial Design(Contd.) 00:54
      • 5.49 Introduction to 2 Factor Factorial Design(Contd.) 00:38
      • 5.50 2² Design 00:52
      • 5.51 2² Design(Contd.) 00:34
      • 5.52 2² Design(Contd.) 01:15
      • 5.53 2² Design(Contd.) 00:36
      • 5.54 2² Design(Contd.) 00:49
      • 5.55 2² Design(Contd.) 00:53
      • 5.56 2² Design(Contd.) 00:37
      • 5.57 2² Design(Contd.) 00:33
      • 5.58 2² Design(Contd.) 00:42
      • 5.59 2² Design(Contd.) 00:41
      • 5.60 2² Design(Contd.) 00:25
      • 5.61 2² Design(Contd.) 00:32
      • 5.62 2² Design(Contd.) 00:19
      • 5.63 2² Design(Contd.) 01:02
      • 5.64 2² Design(Contd.) 01:16
      • 5.65 2² Design(Contd.) 00:22
      • 5.66 2² Design Summary 00:40
      • 5.67 General 2k Design 01:13
      • 5.68 General 2k Design(Contd.) 00:26
      • 5.69 General 2k Design(Contd.) 01:01
      • 5.70 General 2k Design(Contd.) 00:41
      • 5.71 General 2k Design(Contd.) 00:29
      • 5.72 General 2k Design(Contd.) 00:22
      • 5.73 General 2k Design(Contd.) 00:20
      • 5.74 General 2k Design(Contd.) 00:15
      • 5.75 General 2k Design(Contd.) 01:01
      • 5.76 General 2k Design(Contd.) 00:50
      • 5.77 Single Replicate of 2k Design 01:29
      • 5.78 Half Fractional 2k-1 Design 01:24
      • 5.79 Half Fractional 2k-1 Design(Contd.) 00:50
      • 5.80 Half Fractional 2k-1 Design(Contd.) 00:39
      • 5.81 Half Fractional 2k-1 Design(Contd.) 00:25
      • 5.82 Half Fractional 2k-1 Design(Contd.) 00:13
      • 5.83 Half Fractional 2k-1 Design(Contd.) 01:11
      • 5.84 Half Fractional 2k-1 Design(Contd.) 01:08
      • 5.85 Quarter Fractional 2k-2 Design 01:09
      • 5.86 Quarter Fractional 2k-2 Design(Contd.) 00:39
      • 5.87 Quarter Fractional 2k-2 Design(Contd.) 01:07
      • 5.88 Quarter Fractional 2k-2 Design(Contd.) 01:49
      • 5.89 3k Factorial Design 01:06
      • 5.90 3k Factorial Design (Contd.) 00:47
      • 5.91 Response Surface Designs 00:50
      • 5.92 Response Surface Designs(Contd.) 00:46
      • 5.93 Response Surface Designs(Contd.) 00:13
      • 5.94 Response Surface Designs(Contd.) 00:11
      • 5.95 Response Surface Designs(Contd.) 00:27
      • 5.96 Response Surface Designs(Contd.) 00:30
      • 5.97 Response Surface Designs(Contd.) 00:12
      • 5.98 Response Surface Designs(Contd.) 00:23
      • 5.99 Response Surface Designs(Contd.) 01:09
      • 5.100 Nested Designs 00:45
      • 5.101 Split Plot Designs Introduction 01:03
      • 5.102 Taguchi's Designs 00:51
      • 5.103 Taguchi's Designs (Contd.) 00:49
      • 5.104 Taguchi's L4 Design 00:54
      • 5.105 Taguchi's L4 Design Graphs 00:14
      • 5.106 Taguchi's L8 Design 00:33
      • 5.107 Taguchi's L8 Design(Contd.) 00:23
      • 5.108 Taguchi's L8 Design(Contd.) 00:11
      • 5.109 Taguchi's L8 Design(Contd.) 00:40
      • 5.110 Plackett Burman's Design 01:27
      • 5.111 Plackett Burman's Designs(Contd.) 00:38
      • 5.112 Quality Function Deployment(House of Quality) 01:02
      • 5.113 Summary 00:37
      • 5.114 Section V Lesson 4 Brainstorming Solutions Prioritization and Cost Benefit Analysis 00:12
      • 5.115 Agenda 00:19
      • 5.116 Brainstorming 01:01
      • 5.117 Multi Voting 01:22
      • 5.118 Brainstorming Prioritization and Cost Benefit Analysis 01:13
      • 5.119 Brainstorming Prioritization and Cost Benefit Analysis(Contd.) 01:18
      • 5.120 Brainstorming Prioritization and Cost Benefit Analysis(Contd.) 00:27
      • 5.121 Brainstorming Prioritization and Cost Benefit Analysis(Contd.) 00:54
      • 5.122 Brainstorming Prioritization and Cost Benefit Analysis(Contd.) 01:11
      • 5.123 Brainstorming Prioritization and Cost Benefit Analysis(Contd.) 01:18
      • 5.124 Brainstorming Prioritization and Cost Benefit Analysis(Contd.) 00:52
      • 5.125 Poka Yoke 01:26
      • 5.126 Summary 00:29
      • 5.127 Section V Lesson 5 Piloting Validating and FMEA 00:21
      • 5.128 Agenda 00:27
      • 5.129 Pilot Solutions 01:14
      • 5.130 Piloting Tools 00:42
      • 5.131 Piloting Tools (Contd.) 00:18
      • 5.132 Paired t Test 00:50
      • 5.133 Paired t Test(Contd.) 00:38
      • 5.134 Paired t Test Interpretations 00:36
      • 5.135 Paired t Test(Contd.) 00:15
      • 5.136 Paired t Test(Contd.) 00:55
      • 5.137 Improve Next Steps 01:00
      • 5.138 Failure Mode Effects Analysis 01:04
      • 5.139 Failure Mode Effects Analysis(Contd.) 00:21
      • 5.140 Failure Mode Effects Analysis(Contd.) 00:28
      • 5.141 Failure Mode Effects Analysis(Contd.) 01:03
      • 5.142 Failure Mode Effects Analysis(Contd.) 00:14
      • 5.143 Summary 00:20
      • 5.144 Improve Activity Summary 01:09
      • 5.145 Quiz
      • 5.146 Thank You 00:04
    • Section 06 - Control 46:47
      • 6.1 Welcome 00:07
      • 6.2 Section VI Control 00:37
      • 6.3 Agenda 00:25
      • 6.4 SectionVI Lesson 1 Pre Control Considerations 00:11
      • 6.5 Agenda 00:13
      • 6.6 Pre Control Considerations 00:58
      • 6.7 Assessing the Results of Process Improvement 01:17
      • 6.8 Rational Subgrouping 01:36
      • 6.9 Summary 00:13
      • 6.10 Section VI Lesson 2 Variables and Attributes Control Charts 00:25
      • 6.11 Agenda 00:18
      • 6.12 Concepts of Variables Control Charts 01:46
      • 6.13 Concepts of Variables Control Charts(Contd.) 01:36
      • 6.14 Concepts of Variables Control Charts (Contd.) 00:52
      • 6.15 Concepts of Variables Control Charts (Contd.) 01:02
      • 6.16 Concepts of Variables Control Charts (Contd.) 01:12
      • 6.17 Variables Control Charts 00:43
      • 6.18 Variables Control Charts(Contd.) 00:41
      • 6.19 Variables Control Charts(Contd.) 00:32
      • 6.20 Variables Control Charts (Contd.) 01:00
      • 6.21 Variables Control Charts (Contd.) 00:37
      • 6.22 Variables Control Charts(Contd.) 00:28
      • 6.23 Variables Control Charts(Contd.) 00:31
      • 6.24 Variables Control Charts(Contd.) 00:58
      • 6.25 Variables Control Charts(Contd.) 00:38
      • 6.26 Variables Control Charts(Contd.) 00:35
      • 6.27 Variables Control Charts(Contd.) 00:41
      • 6.28 Variables Control Charts(Contd.) 00:58
      • 6.29 Variables Control Charts(Contd.) 00:46
      • 6.30 Variables Control Charts(Contd.) 01:15
      • 6.31 Variables Control Charts (Contd.) 01:06
      • 6.32 EWMA Charts 01:12
      • 6.33 EWMA Charts(Contd.) 00:30
      • 6.34 Cusum Charts 00:20
      • 6.35 Attribute Control Charts 01:28
      • 6.36 Attribute Control Charts(Contd.) 01:08
      • 6.37 Attribute Control Charts(Contd.) 00:48
      • 6.38 Attribute Control Charts (Contd.) 00:31
      • 6.39 Attribute Control Charts(Contd.) 00:40
      • 6.40 Attribute Control Charts(Contd.) 00:38
      • 6.41 Attribute Control Charts(Contd.) 00:37
      • 6.42 Summary 00:23
      • 6.43 VI Lesson 3 Measurement System Analysis Control Plan and Project Closure 00:12
      • 6.44 Agenda 00:16
      • 6.45 Measurement System Analysis 00:53
      • 6.46 Control Plan 00:29
      • 6.47 Control Plan(Contd.) 01:09
      • 6.48 Control Plan(Contd.) 00:44
      • 6.49 Control Plan(Contd.) 01:12
      • 6.50 Project Closure 00:45
      • 6.51 Summary 00:33
      • 6.52 Section VI Lesson 4 Introduction to Total Productive Maintenance 00:08
      • 6.53 Agenda 00:38
      • 6.54 Total Productive Maintenance(TPM) 00:33
      • 6.55 Total Productive Maintenance(TPM)(Contd.) 00:53
      • 6.56 Total Productive Maintenance(TPM)(Contd.) 00:55
      • 6.57 Total Productive Maintenance(TPM)(Contd.) 00:55
      • 6.58 Total Productive Maintenance(TPM)(Contd.) 01:31
      • 6.59 Total Productive Maintenance(TPM)(Contd.) 00:44
      • 6.60 Total Productive Maintenance(TPM)(Contd.) 00:52
      • 6.61 Summary 00:42
      • 6.62 Tools to Refer 00:08
      • 6.63 Quiz
      • 6.64 Thank You 00:03
    • {{childObj.title}}
      • {{childObj.childSection.chapter_name}}
        • {{lesson.title}}
      • {{lesson.title}}

    View More

    View Less

Exam & certification FREE PRACTICE TEST

  • How will I become a Lean Six Sigma Black Belt certified professional?

    No Prerequisites.

    Simplilearn Certification

    Simplilearn offers two levels of Lean Six Sigma Black Belt  Certification – Technical and Functional. The Technical Certification is offered after the trainee completes 85% of the course and passes the LSSBB Certification Examination with a minimum 60% score.

    After the certification, the trainee should submit a full-scale live DMAIC project for case review by the LSSBB faculty. Upon completion of the successful review, the trainee will be provided with an Lean Six Sigma Black Belt  Functional Certification.

    A typical full-scale DMAIC LSSBB project would take 8-9 months (1st Phase) to complete and the LSSBB must be able to show a projected savings of at least $200,000 from the project.

    IASSC Certification
    IASSC Certification:
    Exam Fee is included in classroom courses only for all countries except India.
    Exam Fee is not included in online self-learning course.
    The candidate can get certified from IASSC in Lean Six Sigma Black Belt by appearing for the IASSC Certified Lean Six Sigma Black Belt exam and scoring a minimum of 580 points out of a total of 750.
    Upon achieving this, the candidate will receive a Certificate, suitable for framing, issued by the IASSC

  • Does the course fee include in examination fees as well?

    Exam Fee is included in online classroom courses only for all countries except India.
    Exam Fee is not included in online self-learning course.

  • Until when can I procure voucher from Simplilearn?

    Your exam voucher fee is included in the price of this course. However, you must procure the exam voucher within 3 months from the date of course purchase.In the event that an exam price does go up and you have not yet booked the exam, you will need to pay the difference in amount to Simplilearn.
     

  • How do I schedule my exam?

    For assistance in scheduling your exam, reach out to the sales consultant (inside sales manager) or raise a request to the support team of Simplilearn.  
     

  • What is the validity of my exam voucher?

    Exam vouchers are valid for 1 year from the date of course purchase. If you do not book the exam within 1 year from purchase of voucher, you will need to buy the voucher again per the actual price.
     

  • Can I ask for refund of exam voucher cost once its issued to me?

    No, exam voucher cost cannot be refunded once it is issued to a learner as we procure this from third party bodies. Simplilearn does not own the voucher policies and cost.
     

  • How frequently does the exam fee change?

    Exam prices are governed by the certification body and can change. Price changes are typically announced at the end of the calendar year. If the event that an exam price does go up and you have not yet booked the exam, you will need to pay the difference in amount to Simplilearn.
     

Reviews

John Houser
John Houser Director @ Fairchild Semiconductor, Portland

Great training with add-on examples. So many good examples were added at just the right time to better explain what the slide was telling us. Great job!

Read more Read less
Teresa Brumit
Teresa Brumit Data and Operations Analyst at Cooper, Hart, Leggiero & Whitehead, PLLC, Houston

This course was thorough and engaging; the concepts were relevant and applicable to my work. The instructor was knowledgeable and kept us engaged.

Read more Read less
Alireza Matin
Alireza Matin Business Process Improvement Consultant, Brisbane

I have enrolled in Lean Six Sigma Black Belt training course with Simplilearn. The training course materials was really simple to learn. There are three simulation tests plus a final test that help everyone to successfully pass the original test. Also, the customer service teams are amazingly polite and supportive. Overall, I am happy with Simplilearn.

Read more Read less
Simhachalam Mamidi
Simhachalam Mamidi Manager - Quality, Risk Advisory & IT Audit at Wipro, Hyderabad

Excellent course with clear demonstration of concepts.

Olga Barrett
Olga Barrett Career Advisor @ CV Wizard of OZ, Perth

I enjoyed the presentations. It was really didactic, clear and with good examples. Very nicely explained. Thank you, I enjoyed your class!

Read more Read less
Jayendra Nattar
Jayendra Nattar Chennai

Training was very good; a step ahead on the means of understanding concepts of six sigma better than that of green belt level.

Nilesh T Naik
Nilesh T Naik Manager Global Logistics at Datacard Group, Mumbai

Its really good to understand various decision making concepts before implementing them.

Gafoor Sarang
Gafoor Sarang Mumbai

Training was great; the trainer had good knowledge.

Namuduri A R Chandu
Namuduri A R Chandu Project Manager at Geometric Ltd., Pune

Trainer's knowledge is precise & has depth simplified to general terms & concepts are clear.

Mohit Khurana
Mohit Khurana Pune

Training has been very good or nothing less then excellent. Knowledge wise, course wise, everything was up to the mark.

Srinath Venkatasubramanian
Srinath Venkatasubramanian Bangalore

Overall feedback of the training is good. The course material, e-book & online learning helped me in learning important concepts.

Syam Kalamani
Syam Kalamani Bangalore

Covered Key Concept like regression, correlation, hypothesis testing & DOE in great details with lots of examples. Minitab tutorial was very well explained.

Read more Read less
Ashish Gautam
Ashish Gautam Bangalore

Specific to the need of practical application. End to end exercise will help me to relate it in how to use them.

Bruno Penatieri
Bruno Penatieri Industrial Engineer, Sydney

Over this course I've had a great opportunity to develop my skills and apply all the knowledge acquired on my current job. I shared my experience moreover I've learned about worthwhile concepts, skills & methods essentials for my career. I appreciate Simplilearn for arranging such an effective training session.

Read more Read less
Ashish Gautam
Ashish Gautam Bangalore

Specific to the need of practical application. One on end-to-end exercise helped me to relate in how to use them.

FAQs

  • Who are the trainers for the live classroom training?

    All of our highly qualified and certified instructors have 20+ years of experience working and delivering classroom training.

  • What payment options are available?

    Payments can be made using any of the following options. You will be emailed a receipt after the payment is made.

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

  • Can I cancel my enrollment? Will I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.

  • Do you provide money back guarantee for the training programs?

    Yes. We do offer a money-back guarantee for many of our training programs. You can refer to the Refund Policy and raise refund requests via our Help and Support portal.

  • How will I get my course completion certificate from Simplilearn?

    We offer course completion certificate after you successfully complete the training program.

  • Do you provide PDUs after completing the training? How many hours of PDU certificate do I get?

    Yes, we offer PDU certificates to candidates who successfully complete the training. You can earn 35 hours of PDU certification.

  • What is the difference between Lean Six Sigma Black Belt and Six Sigma Black Belt?

    The Lean Six Sigma Black Belt (LSSBB) Body of Knowledge will train you on Lean Management and Six Sigma tools and methodologies.

  • How long will it take for me to complete the LSSBB Curriculum?

    The five-day training module for LSSBB will train you on the concepts. By the end of the five days, you will be ready to use the concepts and tools in your real-life applications. That being said, Six Sigma is a discipline of continual learning and practical applications.

  • What are the prerequisites for me to enroll for the LSSBB Curriculum?

    • Participants must have at least two years’ experience in Quality Management role and should have worked on process improvement projects AND
    • Participant must be a Masters in Statistics AND
    • Participant must be a Six Sigma Green Belt Certificate Holder having shown adequate expertise handling Six Sigma tools

  • Do you offer Master Black Belt Certification?

    Simplilearn offers a Lean Six Sigma Masters Program <LINK> that provides comprehensive training, including Lean Management, Lean Six Sigma Green Belt, Minitab, and Lean Six Sigma Black Belt.

  • Why should I choose Simplilearn for LSSBB over other courses?

    We are pioneer in the field of online training and certification and offer a blended delivery model, combining live online classroom training and self-paced e-learning. We have trained 12,000+ professionals across 115 countries, offering a multitude of professional courses to meet every unique requirement.

  • Do I get post-program support?

    Yes, you will get support through forum and community discussions.

  • Where and how can I access the e-learning content? Are there any limitations?

    Once you register with us for a course by paying the course fee, you will have 24/7 access to the e-learning content on our website. An automated confirmation will guide you through the process.

  • I am not able to access the online course. Whom should I contact for a solution?

    Please raise a request via our Help and Support portal to have your issue resolved.

  • I’d like to learn more about this training program. Whom should I contact?

    Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives can provide you with more details.
     

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