Learners completing this course will be able to analyze process variation, apply Lean and Six Sigma principles, evaluate project selection methods, interpret statistical data, predict process outcomes using regression, and validate improvements through hypothesis testing.
This comprehensive program provides a step-by-step pathway from foundational awareness of Six Sigma and Lean tools, through project and process management, to advanced data-driven decision-making techniques. You’ll gain hands-on exposure to essential tools such as histograms, control charts, correlation, regression, and hypothesis testing, while also learning to manage CTQ (Critical to Quality) factors, optimize processes, and apply Just-In-Time (JIT) and 5S frameworks.
Unlike standard Six Sigma courses, this program integrates real-world case examples, practical Excel applications, and clear guidelines for selecting the right tests and determining accurate sample sizes. By the end, learners will not only understand Six Sigma methodologies but also be prepared to apply, evaluate, and improve organizational quality processes with confidence.
This course is designed to prepare you for Certified Six Sigma Black Belt 2025 standards, ensuring your skills remain relevant, measurable, and industry-ready.
This module introduces learners to the core foundations of Six Sigma, highlighting its history, principles, and integration with Lean methodology. Learners will explore the prestige of Six Sigma certifications, understand the differences between Lean and Six Sigma, and identify key process improvement methods such as the Seven Wastes (Muda) and Just-In-Time (JIT). By mastering these essentials, participants build a strong knowledge base for applying Six Sigma to real-world quality improvement initiatives.
Das ist alles enthalten
15 Videos4 Aufgaben
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15 Videos•Insgesamt 177 Minuten
Course Introduction•11 Minuten
Course Outline•11 Minuten
Awareness•10 Minuten
Lean VS Six Sigma•9 Minuten
Organize Wide Consideration•13 Minuten
Voice of the Customer•13 Minuten
Decision-Making in Six Sigma•10 Minuten
Principles of Six Sigma•13 Minuten
History of Six Sigma•9 Minuten
Other Improvement Method•14 Minuten
Other Improvement Method - LEAN•14 Minuten
The Seven Waste (Muda)•12 Minuten
The Seven Muda - Overproduction•15 Minuten
The Seven Muda - Correction•12 Minuten
Introduction - 5S JIT•10 Minuten
4 Aufgaben•Insgesamt 60 Minuten
Graded - Foundations of Six Sigma Excellence•30 Minuten
Getting Started with Six Sigma•10 Minuten
Lean and Six Sigma Principles•10 Minuten
Origins and Lean Foundations•10 Minuten
Processes, Projects & Quality
Modul 2•3 Stunden abzuschließen
Moduldetails
This module explores the practical application of Six Sigma in defining processes, assigning ownership, and aligning quality outcomes with organizational goals. Learners will gain insights into process components, project frameworks, and the importance of CTQ (Critical to Quality) and CTC (Critical to Customer) factors. Additionally, the module emphasizes structured project selection methods and the use of statistics to ensure that limited resources are directed toward the most impactful quality improvement initiatives.
Das ist alles enthalten
9 Videos4 Aufgaben
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9 Videos•Insgesamt 106 Minuten
Concepts of Six Sigma•12 Minuten
Basic Metrics•13 Minuten
Course Outline - Projects and Processes•13 Minuten
This module equips learners with advanced statistical tools and data-driven techniques essential for Six Sigma mastery. Participants will explore graphical analysis, probability concepts, and normality testing to evaluate process performance. The module also covers correlation, regression, and handling of non-normal distributions, enabling practitioners to build predictive models and uncover relationships within data. Finally, learners will apply hypothesis testing, determine correct sample sizes, and set statistical guidelines to ensure reliable, evidence-based decision-making in quality improvement projects.
Das ist alles enthalten
14 Videos4 Aufgaben
Infos zu Modulinhalt anzeigen
14 Videos•Insgesamt 192 Minuten
Intermediate Graphical Analysis•14 Minuten
Normal Distributions•16 Minuten
Probability Distributions•14 Minuten
Histogram in Excel•14 Minuten
Normality Testing•12 Minuten
Correlation and Regression Analysis•14 Minuten
Negative Correlation•16 Minuten
Correlation Coefficient•13 Minuten
Regression•11 Minuten
Non-Normal Distributions•12 Minuten
Hypothesis Testing•14 Minuten
Selection of Right Tests•13 Minuten
Sample Size•13 Minuten
Guidelines•16 Minuten
4 Aufgaben•Insgesamt 60 Minuten
Graded - Data-Driven Six Sigma Mastery•30 Minuten
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