What you'll learn
- Advanced Tools of Lean Six Sigma
- Control Charts
- Continuous Data Analysis
- Descrete Data Analysis
- Hypothesis testing
- Linear Regression
- Six Sigma Fundamentals, General Understanding of statistics
In this course we will:
Review six sigma tools such as PDCA, DMAIC, and SIPOC
Review statistics, sampling, and how to use excel to do statistical analysis
We will learn about:
Measurement system analysis and attribute agreement analysis
The baseline of process performance for discrete data including Yield, DPU, DPMO
Statistical process control and control charts, ImR, XbarR, and XbarS charts.
Statistical process control charts analysis and how to identify if a process has an issue.
The baseline for continuous data and continuous data analyses, sampling distribution, standard error and coefficient of variation, and Z-score, and T-scores
Hypothesis testing, confidence interval and central limit theorem, one-sample z-test, t-test, and ANOVA
Linear regression, covariance, and correlation, use excel for linear regression analysis
At the end of this course, we will complete the Lean Six Sigma project together
This course requires you to be familiar with key concepts of quality and lean six sigma as well as some basic knowledge of statistics.
This course includes multiple examples. Every time a new concept is introduced, I provide real-life examples and how to apply the new concept.
I will walk you through difficult statistics concepts and will teach you how to use statistical tools and interpret the results of the analysis.
We will use excel, do to all the heavy lifting for us, and our job will be to learn how to apply the tools and understand the results.
I am including all templates and supporting materials and a lot of useful tables that are needed for the analysis, Templates, and tables will be very helpful for you to get started with your lean six sigma project.
Who this course is for:
- People who would like to learn about advanced lean six sigma tools and advance analysis
I have Master's degree in Engineering and certification in Project Management and many years of experience in project management, software development, and engineering. I have been leading cross-functional engineering teams to successfully complete complex automation projects and engineered complex solutions. In addition, I have experience in developing Machine Learning and AI solutions for industrial applications.