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
Six Sigma Black Belt: Analyze, Improve & Control
Instructor: EDUCBA
Access provided by Course Builder (Internal Testing)
Gain insight into a topic and learn the fundamentals.
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
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.
Skills you'll gain
- Process Analysis
- Lean Methodologies
- Continuous Improvement Process
- Statistical Hypothesis Testing
- Probability & Statistics
- Regression Analysis
- Quality Improvement
- Predictive Modeling
- Microsoft Excel
- Lean Manufacturing
- Sample Size Determination
- Statistical Process Controls
- Data-Driven Decision-Making
- Quality Management
- Process Improvement
- Six Sigma Methodology
- Statistical Analysis
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
12 assignments
Taught in English
Recently updated!
October 2025
See how employees at top companies are mastering in-demand skills
There are 3 modules in this course
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.
What's included
15 videos4 assignments1 plugin
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.
What's included
9 videos4 assignments
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.
What's included
14 videos4 assignments
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
