• To identify process problems and perform a root cause analysis using cause and effect diagrams and regression analysis.
• To analyze data using inferential statistical techniques, including confidence intervals and hypothesis testing.
• To test and quantitatively assess the impact of different improvement options using the design of an experiment.
• To test for the significance of effects using an Analysis of Variance.
• To implement control mechanisms for long-term monitoring using control charts for both quantitative and qualitative measurements.
• To apply the Six Sigma methodology for the Analyze, Improve and Control phases in your work or research.

Week 1: ANALYZE - Root Cause Analysis
Introduction to methods for root cause analysis, including Cause and Effect (Fishbone diagrams) and Pareto Charts. We learn how to perform statistical correlations and regression analyses.

Week 2: ANALYZE - Inferential Statistics
Learn the inferential statistics techniques of confidence intervals and hypothesis testing in order to use sample data and draw conclusions about or process centering.

Week 3: IMPROVE - Design of Experiments
Plan designed experiments and calculate the main and interaction effects.

Week 4: MEASURE - Analysis of Variance
Review how to perform a one-way Analysis of Variance (ANOVA) for comparing the between-factor variation to the within-factor variation for a single factor experiment.
Use a two-way ANOVA for testing the significance of the factor effects for a 2x2 DOE.

Week 5: CONTROL - SPC and Control Charts
Implement Statistical Process Control (SPC) & Control Chart Theory for monitoring process data and distinguishing between common cause variation and assignable cause variation. Construct X-bar and R Charts by calculating the upper and lower control limits and the centerline.

Week 6: CONTROL - Other Control Charts
Understand other control charts, including p-and c-charts and I/MR, and EWMA Charts and review of the Control and Response Plan for Six Sigma projects.

Week 7: Quality Tools: FMEA, 8D, 5 Whys
Use several important tools used in quality management, including the 8 Disciplines (8D) and 5 Whys, and learn the concept behind Design for Six Sigma (DFSS).

Week 8: Six Sigma Scenario and Course Summary
Step through a full Six Sigma scenario, covering all phases of the DMAIC process improvement cycle.

"Holly Ott is an excellent teacher and the teaching methodology of the videos is clear and priceless they urge to deepen each topic. I am still studying the QPLS2x and the applicability of each of the tools in each of the phases is immense, for example, the use of simple and multiple linear regressions to analyze any production and service process, as well as the design of experiments To improve processes and adjust them to the required quality conditions, I have had the opportunity to apply some of these tools for process improvement during my work experience but not in a Six Sigma project, this course provides powerful tools and is an exciting topic and I consider that must be passionate about those professionals who are in love with the quality, processes and especially mathematics and statistics." - John Ricardo

" I searched for months and read the descriptions (and even attended trailer demos) for many courses. But I haven't seen a course that is as organized and content-rich as this series from TUM! I can't thank enough Dr. Holly Ott and the team enough for this course, it was really helpful and helped me construct a massive amount of knowledge about Six Sigma...
When I first became interested in quality improvement and operational excellence concept, I noticed that our company lacks a quality control department, This course, along with the previous one helped me to prepare a full presentation to our senior leadership about the importance of quality and why is it critical to establish such a department, and it was quite impressive. I can't wait to start the next and the final course in this bundle (Lean Production)." - Husain Alghasra

"Hello, my name is Christian Salinas, I am an industrial engineering student and I am from El Salvador. The teachers perfectly supported the course showing a deep and advanced knowledge in the area, they have done a great job, the course seemed very complete and with very good examples. It helped me develop a skill set to analyze, improve, and control, and it increased my understanding of scope in real-world applications. There are many things to learn in this course that takes time to handle well, but with the help of this course, you can lay the foundation to start developing in this area. " - Christian Salinas

"I am Astrid Barquero, I am studying process engineering and industrial management in Mexico. The material of this course has helped me a lot to review topics that I had already seen in school and to deepen them much more. I also learned a lot of new things like systemic and occurrence root cause in a 5WHY analysis, the 8D methodology to solve problems, control charts for slow processes, variance analysis and its types, and much more. I am sure that this course will help me to get excellent job opportunities and be a better-prepared person for the industry. " - Astrid Barquero