Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
6 Hour(s) 2 Minute(s)
Language
English
Taught by
HK School of Management - LSP
Rating
Course Overview
Advanced Lean Six Sigma Tools and Techniques, Process Analysis, Learn to Interpret Data, Use Excel for Data Analysis
Master Advanced Lean Six Sigma and Elevate Your Problem-Solving Skills
Are you ready to take your Lean Six Sigma expertise to the next level? Our Advanced Lean Six Sigma Course is designed to help professionals like you master statistical tools, process improvement techniques, and data-driven decision-making.
What You’ll Learn
In this course, we go beyond the basics to give you a deep understanding of advanced Lean Six Sigma concepts. You’ll review essential Six Sigma tools like PDCA, DMAIC, and SIPOC, then dive into advanced statistical techniques to analyze and improve processes effectively. Key topics include:
- Statistical Analysis with Excel – Learn how to leverage Excel for efficient statistical analysis without complex coding.
- Measurement System Analysis – Understand how to assess data reliability and ensure accuracy in decision-making.
- Process Performance Metrics – Learn how to measure baseline performance for both discrete and continuous data, including Yield, DPU, DPMO, Standard Error, and Z-Scores.
- Control Charts & Process Stability – Gain expertise in ImR, XbarR, and XbarS control charts to monitor and maintain process quality.
- Hypothesis Testing & Confidence Intervals – Master key statistical concepts, including T-tests, ANOVA, and the Central Limit Theorem, to validate improvements.
- Regression & Correlation Analysis – Learn how to perform linear regression, covariance, and correlation analysis to understand relationships between variables and make better predictions.
- Real-World Lean Six Sigma Project – Apply everything you learn by completing a Lean Six Sigma project alongside the instructor, giving you hands-on experience and practical skills.
Why Choose This Course?
- Real-World Applications – Every concept is backed by real-life examples to help you apply your knowledge effectively.
-Simplified Learning Approach – Complex statistical concepts are broken down into easy-to-understand steps.
- Excel-Based Learning – No need for advanced statistical software; Excel will handle the calculations while you focus on interpreting results.
- Comprehensive Support Materials – Get access to templates, useful tables, and step-by-step guides to kickstart your Lean Six Sigma projects.
Who Should Take This Course?
This course is perfect for professionals who already have basic Lean Six Sigma and statistics knowledge and want to advance their skills in process improvement, quality control, and data analysis.
Take the Next Step in Your Career
By the end of this course, you’ll have the confidence and skills to apply advanced statistical techniques to real-world problems, making you an invaluable asset in any process improvement role.
Sign up today and transform the way you approach Lean Six Sigma!
Course Content
- 12 section(s)
- 81 lecture(s)
- Section 1 Introduction
- Section 2 Introduction
- Section 3 3 Measurement System Analysis
- Section 4 4 Baseline and Process Performance
- Section 5 5 Statistical Process Control
- Section 6 6 Baseline - Continuous Data
- Section 7 7 Hypothesis testing
- Section 8 8 Linear Regression
- Section 9 9 Project
- Section 10 KPI Explained
- Section 11 Final Word
- Section 12 Additional Free Materials and Courses
What You’ll Learn
- Advanced Tools of Lean Six Sigma, Master Six Sigma tools like PDCA, DMAIC, and SIPOC for process improvement., Analyze Data with Confidence – Learn how to perform statistical analysis using Excel, eliminating the need for complex software., Evaluate Measurement Systems – Conduct Measurement System Analysis (MSA) and Attribute Agreement Analysis to ensure data accuracy and reliability., Improve Process Performance – Measure and analyze baseline process performance using key metrics such as Yield, DPU, DPMO, and Standard Error., Monitor and Control Quality – Develop expertise in Statistical Process Control (SPC) and control charts (ImR, XbarR, XbarS) to detect and prevent process variat, Conduct Hypothesis Testing – Apply T-tests, ANOVA, Z-tests, and Confidence Intervals to validate process improvements and make data-driven decisions., Interpret Sampling & Variability – Understand sampling distribution, coefficient of variation, and central limit theorem to analyze continuous data effectively., Uncover Relationships in Data – Perform linear regression, correlation, and covariance analysis to identify trends and make predictive improvements., Apply Concepts to a Real-World Project – Complete a Lean Six Sigma project alongside the instructor, reinforcing your learning through hands-on experience., Utilize Ready-to-Use Templates & Tools – Get access to Excel templates, statistical tables, and practical guides to accelerate your Lean Six Sigma projects., Enhance Problem-Solving & Decision-Making – Develop a structured approach to solving complex business challenges using advanced statistical techniques., Take your Lean Six Sigma expertise to the next level! Gain practical skills, industry-recognized knowledge, and hands-on experience to boost your career.
Skills covered in this course
Reviews
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CClaudia Rocio Sanchez
I find it extremely interesting and applicable for obtaining information and making process improvements. However, I would have preferred to take a preliminary course and then progress to the advanced level, instead of jumping straight to the advanced course. And there are a lot of exercises.
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FFrancisco Fregona
The amount of quizes and assigments its simply annoying
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EElena Sabina Damian
Amazing course, great explanations, super comprehensive and very applicative! Thank you!
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RRaquel Remorquez
Stigma course teach me the strongest impact comes when participants connect the lessons to their own workplace, community, or personal life. Activities often include role plays or case studies that help see situations from the viewpoint
