中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.
Six Sigma Black Belt: Analyze, Improve & Control
您将学到什么
Apply Lean & Six Sigma tools to analyze and optimize processes.
Use regression, control charts & hypothesis testing for quality.
Evaluate projects, manage CTQs, and implement JIT & 5S methods.
您将获得的技能
- Continuous Improvement Process
- Six Sigma Methodology
- Lean Manufacturing
- Probability & Statistics
- Predictive Modeling
- Lean Methodologies
- Quality Improvement
- Regression Analysis
- Quality Management
- Data-Driven Decision-Making
- Statistical Process Controls
- Sample Size Determination
- Statistical Hypothesis Testing
- Statistical Analysis
- Process Analysis
- Process Improvement
- Microsoft Excel
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最近已更新！
October 2025
作业
12 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有3个模块
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.
涵盖的内容
15个视频4个作业1个插件
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.
涵盖的内容
9个视频4个作业
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.
涵盖的内容
14个视频4个作业
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状态：免费试用
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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