This complete Lean Six Sigma Black Belt course with Minitab examples will prepare you to take up ASQ, IASSC or any other certification exam. If you are a trainer, then this is ready made content to deliver Lean Six Sigma training.
All the topics are well explained in simple language and you will find them easy to understand. Let me also tell you that you will not get this kind of content any where at this price range.
Along with this content you can also buy ASQ Question Bank, which will prepare you for any Black Belt exam. All these questions are designed in the line of what we actually get in the ASQ exams.
Note : If you face any problem in downloading the file then please mail us at admin@sixsigmastats.com , we will e-mail you the material within 12 hrs. So, please don’t worry about buying from us or about any technical issue.
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This complete Six Sigma Black Belt course will prepare you to perform the role of a Black Belt; covering what’s necessary to successfully achieve Black Belt certification and performance standards. It includes problem solving with Minitab.
The Black Belt Six Sigma DMAIC course is broken into Week 1 and Week 2 and comprised of:
- 791 slides and 20 data sets
- Slide are well explained
- Statistical analysis and tools explained with Minitab examples
- Slides are designed for novices, trainers and consultants
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ASQ BB Question set with explained solution(85 questions) worth $ 8.99 Absolutely Free
Reviews
John Murphy
Cory Hicks
Benjamin Obi Tayo
Fluff Miller
Absolute value for money !
Excellent material. I would recommend this course material to all who are trying to learn Six Sigma tools.
Very comprehensive CSSBB course material and the best part is the Minitab explanations.
I really liked the DOE part, well explained with examples
DEFINE
Understanding Six Sigma
Six Sigma Fundamentals
Selecting Projects
Kano’s Model
Identify Project CTQ
Project Charter
SIPOC
Summary: Define Deliverables
MEASURE
Understand CTQ Characteristics
Define Performance Standards
Quality Function Deployment (QFD)
Process Mapping
Pareto Analysis
Data Collection plan
Sampling and Sample size determination
Confidence Interval
Central Limit Theorem
Six Sigma Statistics
Measurement System Analysis
Summary: Measure Deliverables
ANALYZE
Concept of Y and X’s
Defining Performance Objective
Process Capability
Sigma calculation
Distribution & Statistics
Histogram
Box Plot
Normality Testing
Identification of X’s
Fishbone
What is Hypothesis Testing
Type I and Type II error
ANALYZE
Hypothesis Testing
- 1 Sample t-test
- 2 Sample t-test
- Homogeneity of variance
- Paired t-test
- ANOVA
- Test for Proportions
- Chi Square
Scatter plot and Correlation
Regression
General Linear Model
Summary: Analyze Deliverables
IMPROVE
Characterization of X’s
Design of Experiment (DOE)
- Explained with example
- Identify factors
- Choose factor levels
- Select design
- Randomize runs
- Collect data
- Draw conclusions
- Full Factorial Experiments
- Confounding
Pugh Matrix
Pilot
FMEA
Summary: Improve Deliverables
CONTROL
Need for process control
Quality plan
Lean Concepts
Statistical Process Control (SPC)
Summary: Control Deliverables
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