Advanced Lean Six Sigma
Advanced Lean Six Sigma Tools and Techniques, Process Analysis, Learn to Interpret Data, Use Excel for Data Analysis
4.63 (134 reviews)
2 469
students
5 hours
content
May 2025
last update
$54.99
regular price
What you will 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.
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4279948
udemy ID
03/09/2021
course created date
03/04/2023
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