Lean Six Sigma Yellow belt training
Become Beginner level master in Lean Six Sigma
Become Beginner level master in Lean Six Sigma
Welcome to the course!
1.1 Six Sigma Foundations and Principles
1.2 Purpose and Goals of Six Sigma
1.3 Key characteristics of Six Sigma
1.4 Evolution of Six Sigma
1.5 Six Sigma Methodology
1.6 Six Sigma projects
1.7 Value of Six Sigma to the organization
1.8 Purpose and Value of Lean
1.9 Lean Concepts and Process steps
1.10 Lean and the concept of Value added
1.11 Lean tools - Just in time
1.12 Lean tools- Poka-yoke
1.13 Lean tools - Kanban
1.14 Lean tools - Value stream mapping
1.15 Six Sigma and Lean: Differences & Similarities
1.16 Integrating Lean with Six Sigma
1.17 Lean Six Sigma Deployment
Six Sigma: Team basics, Roles, and Responsibilities
1.18 Types of Six Sigma teams
1.19 Value of Sigma teams
1.20 Team evolution: Forming, Storming, and Norming
1.21 Teams: Performing, Adjourning and Recognition
1.22 Brainstorming
1.23 Nominal group technique
1.24 Multivoting
1.25 Importance of effective team communication
1.26 Using agendas of communication
1.27 Meeting minutes
1.28 Using project status reports
1.29 Six Sigma in the organization
1.30 The Six Sigma yellow belt
1.31 Six Sigma project teams
Six Sigma quality tools
1.32 Introduction to quality tools used in Six Sigma
1.33 Pareto chart
1.34 Creating and using pareto charts
1.35 Using Flowcharts in Six Sigma
1.36 Using Run charts in Six Sigma
1.37 Root cause analysis in Six Sigma
1.38 Cause and effect diagram in Six Sigma
1.39 Check Sheets in Six Sigma
Six Sigma Metrics
1.40 Introduction to Six Sigma metrics
1.41 Methods for measuring performance
1.42 Defects per unit (DPU)
1.43 Defects per million opportunities (DPMO)
1.44 Calculating DPMO
1.45 First time yield (FTY)
1.46 Rolled throughput yield (RTY)
1.47 Cost of poor quality(COPQ)
1. 48 Categories of COPQ
1.49 Cycle time
1.50 Calculating Cycle time and Takt time
Six Sigma - Identifying projects
2.1 Voice of business and Voice of Customer
2.2 Voice of the customer process
2.3 Customer input during Project definition
2.4 Collecting Customer data
2.5 Translating customer requirements
2.6 Selecting a Six Sigma project
2.7 Using priority Metrix for project selection
2.8 Selecting an appropriate methodology
2.9 Six Sigma project stakeholders
2.10 Internal and External customer
2.11 Process owners and Project leadership
2.12 Process components
2.13 Using SIPOC diagram
Six Sigma: Project Management Basics
2.14 Managing a Project in Six Sigma
2.15 Defining project goals and baseline data
2.16 Creating the problem statement
2.17 Defining project scope
2.18 Purpose and benefits of a communication plan
2.19 Effective project communication
2.20 Six Sigma project planning and monitoring tools
2.21 Using the work breakdown structure
2.22 Planning with Gantt chart
2.23 Using Activity network diagrams to manage projects
2.24 Using Affinity diagrams to understand problems
2.25 Depicting relationships using matrix charts
2.26 Using relation chart to show cause and effect
2.27 Depicting hierarchies using a tree diagram
2.28 Tollgate reviews
3.1 Descriptive and Inferential Statistics
3.2 Introduction to central tendency
3.3 Calculating and Interpreting Mean
3.4 Calculating and Interpreting Median
3.5 Determining and Interpreting Mode
3.6 Introduction to Dispersion
3.7 Calculating and Interpreting Range
3.8 Calculating and Interpreting Standard deviation
3.9 Calculating and Interpreting Variance
3.10 Central tendency and Inferential statistics
3.11 Effects of skewed data and outliers
Collecting and classifying data
3.12 Classifying data
3.13 Qualitative and Quantitative data
3.14 Continuous and Discrete data
3.15 Levels of Measurement
3.16 Types of data collection
3.17 Contents of Data collection plan
3.18 Data sources, sampling and frequency
3.19 Data collection best practices
3.20 Avoiding data collection problems
3.21 Using information technology for data collection
3.22 Using surveys for data collection
3.23 Using interviews for data collection
3.24 Using checklists for data collection
Six Sigma Measurement System analysis
3.25 Measurement system analysis in Six Sigma
3.26 Precision and Accuracy of the measurement system
3.27 Concepts related to measuring accuracy
3.28 Assessing bias
3.29 Linearity of a measurement system
3.30 Assessing linearity
3.31 Stability of a Measurement system
3.32 Repeatability and Reproducibility
3.33 Gage R & R study
3.34 Gage R & R and Total variation
Process analysis tools
4.1 Common Lean tools
4.2 5s for workplace organization
4.3 Value analysis in Six Sigma
4.4 Identifying types of waste
4.5 Value stream analysis
4.6 Introduction to FMEA
4.7 Types of FMEA
4.8 Severity, Opportunity, and Detection
4.9 Using the Risk priority number
4.10 Using FMEA worksheets
Data analysis and Root cause analysis
4.11 Variables and Probability distributions
4.12 Introduction to Normal distribution
4.13 Introduction to Bimodal distribution
4.14 Skewed and Bimodal curves
4.15 Common and Special cause variations
4.16 Introduction to Root cause analysis
4.17 5 Why analysis
4.18 Process mapping
4.19 Process map symbols
4.20 Relational Matrix charts
4.21 Force field analysis
Correlation, Regression. and Hypothesis testing
4.22 Correlation basics
4.23 Scatter diagram and Correlation analysis
4.24 Correlation coefficient
4.25 Causation and the significance of correlation
4.26 Basics of Regression analysis
4.27 Predicting outcomes with Regression analysis
4.28 Introduction to hypothesis testing
4.29 Null and Alternative hypothesis
4.30 Type I and Type II errors
4.31 One Vs Two-tailed hypothesis tests
4.32 Power of a test
4.33 The P-value for a hypothesis test
Six Sigma techniques for improvement
5.1 Kaizen and Six Sigma
5.2 Kaizen process
5.3 Conducting a Kaizen blitz
5.4 Applying Kaizen in your organization
5.5 Introduction to PDCA
5.6 Steps in the PDCA cycle
5.7 Six Sigma and Cost-benefit analysis
5.8 Identifying benefits
5.9 Identifying costs
5.10 Conducting a cost-benefit analysis
Six Sigma control tools and documentation
5.11 Using Control plans for Six Sigma projects
5.12 Creating a control plan
5.13 Control plan Hand-off
5.14 Statistical process control in Six Sigma
5.15 Introduction to control charts
5.16 Types of control charts
5.17 Choosing a control chart
5.18 Creating an X bar-R chart
5.19 Interpreting data trends in control charts
5.20 Documentation for project control
5.21 Types of control documents
Master Lean Six Sigma Yellow belt level with this training course.
This training course is based on IASSC/ASQ/CSSC Yellow belt body of knowledge.
This training course covers all the important tools and techniques that you need to know as Yellow belt practitioner.
This training course will help you get ready for the Yellow belt certification exams like IASSC/ASQ.
At the end of this course you will get certification from EALSS Academy.
Best offer to start Lean Six Sigma Journey
Anyone who is interested in Learning Lean Six Sigma tools up to the Yellow belt level can join the course. Also if you are preparing for the Yellow belt certification exam then this course is a must for you!
Yes, this training course covers ASQ and IASSC yellow belt bodies of knowledge. You can check the course content and official BOK of the respective certification bodies.
Don't worry, you have multiple attempts for the final exam. So even if you failed on the first attempt you can go back and give that exam again until you achieve the minimum passing grade of 80%.
Yes, once you finished the course and the final exam you will get a course completion certificate from EALSS Academy.
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