Data Analytics for Lean Six Sigma

$350.00 USD

Data Analytics for Lean Six Sigma is a live online cohort that teaches you how to turn process data into decisions. Learn DMAIC-friendly analytics, Minitab workflows, capability, hypothesis tests, regression, and control charts. Trainer: Milton Krivokuca. Recordings and project templates included.

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Course Details

Module 1 - Lean Six Sigma and data basics
DMAIC overview, CTQ trees, operational definitions, data types, measurement scales, tidy datasets. Quick visual checks.
Module 2 - Descriptive analytics and visualization
Center, spread, shape; boxplots, histograms, Pareto; sampling vs population; data quality checks. Hands-on in Minitab.
Module 3 - Probability, distributions, and normality
CLT intuition, normal vs non-normal data, normality tests, transformations and when to avoid them.
Module 4 - Inference for decisions
Confidence intervals; t-tests (1-sample, 2-sample, paired), chi-square for attributes data, one-way ANOVA for multi-group comparisons. Decision framing in Improve/Control.
Module 5 - Correlation, regression, and capability
Scatterplots, correlation pitfalls, simple linear regression, residual checks; Cp, Cpk, Pp, Ppk and practical interpretation.
Module 6 - Control charts and stable processes
When to chart, selecting X̄-R vs I-MR vs p/np/c/u, rules for special cause, linking charts to reaction plans.
Capstone - A3 improvement story
Pick a real process, define Y and CTQs, collect and analyze data in Minitab, then present a one-page A3 with findings and next steps.

Use data to define problems, baseline performance, and pick the right tools
Describe, visualize, and summarize process data for quick wins
Run core statistical tests for DMAIC decisions: normality, t-tests, chi-square, one-way ANOVA
Model relationships with correlation and simple regression; interpret results for action
Estimate process capability (Cp, Cpk, Pp, Ppk) and link to customer CTQs
Build and read basic control charts to separate signal from noise.
Use Minitab step-by-step for the above tasks and export clean reports (Python optional)
Package findings in a one-page A3 storyboard that leaders can approve

Basic spreadsheets. No prior statistics required. We start from descriptive stats and build to inference.

Current or aspiring Yellow/Green/Black Belt practitioners who need stronger analytics
Quality, Ops, PM, manufacturing, service and CX teams
Analysts who support continuous improvement

Course Instructor

Milton Krivokuca is Chair Emeritus of the Master of Science Quality Assurance program at California State University Dominguez Hills, Carson, CA. He has also taught master’s classes in critical thinking and quality theories at California State University Fullerton, Illinois State University, Meta Business School, University of California Riverside, Al Yamama University Riyadh, and University of Redlands.

Additionally, he has presented papers in Viet Nam, Jamaica, Hong Kong, Trinidad, China, Morocco, Saudi Arabia, Kuwait, Ghana, Nigeria, Czech Republic, and the UAE, as well as countless locations throughout the United States and Canada. He is past chair of American Society for Quality Management Technical Community, and an ASQ Fellow.

Dr. Krivokuca’s advanced degrees include an MA, MBA, and a DBA. He is a contributing subject matter expert to the Certified Manager of Quality/Organizational Excellence Handbook. Currently, his work involves developing research related to the application of performance improvement techniques, focusing on integrating human capital with Big Data, to address the unique issues challenging managers in Industry 4.0.

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One price covers everything: course materials, live sessions, recordings, mock exams, certificates, and support. No registration fees, admin charges, or upsells - ever.

Cancel within 72 hours of payment – we’ll refund 100 % of your fee, usually within 5–7 banking days. No admin charges, no fine print.

Complete all course requirements and sit the official exam. If you don’t pass on the first attempt, join the next available cohort free of charge.

Each live cohort needs a minimum number of participants for the best learning experience.
• If we don’t reach that number, you’ll be notified at least 7 days before start-date.
• You can switch to another date/course or receive a full refund - your choice.