Advanced Lean Six Sigma
Advanced Lean Six Sigma Tools and Techniques, Process Analysis, Learn to Interpret Data, Use Excel for Data Analysis
4.64 (128 reviews)
2,435
students
4.5 hours
content
Apr 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
9/3/2021
course created date
4/3/2023
course indexed date
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