Courses
School of Six Sigma
Our library of online Six Sigma video training courses is designed with the busy professional in mind. Most videos last between 4 – 10 minutes in length and are authored and taught by real Six Sigma practitioners with a passion for continuous improvement, and for teaching others.
Browse our six sigma video course library and start your journey today!
200+ Videos A comprehensive library of Six Sigma training videos.
Quizzes Test your knowledge with downloadable quizzes.
3+ Subtitles English, Spanish, Chinese, and more
Introduction to Six Sigma
- 4 Videos
- 17m
Six Sigma is a data-driven approach to improving quality and efficiency in business processes. Six Sigma aims for near-perfect performance, targeting a goal of no more than 3.4 defects per million opportunities. The methodology employs the framework of DMAIC (Define, Measure, Analyze, Improve, Control) for delivering improvement projects. Six Sigma practitioners use statistical tools to identify root causes of defects and inefficiencies, enabling precise solutions that improve outcomes, increase customer satisfaction, and contribute significantly to organizational cost reduction and profitability.View Course
Project Selection
- 8 Videos
- 56m
Now that we’ve covered some important foundational work it’s time to learn how to identify a good project. This step is extremely important since a poorly scoped project has little hope of success.View Course
Process Mapping & Selected Tools
- 7 Videos
- 38m
The ability to understand how material and processes flow, while also identifying the “inputs” or “Xs” to a process, is at the heart of the DMAIC methodology. So, in this section we’ll learn about different types of process maps while also learning how to take the information learned from process mapping into additional tools like the C&E Matrix and FMEA in order to narrow the lists of inputs down to the “critical few.” To be sure, many problems can be solved during this phase of a project, so it’s really time to dig in!View Course
Introduction to Statistics
- 2 Videos
- 6m
Statistics is the science of collecting, analyzing, presenting, and interpreting data. Statistics provides methods for designing experiments, techniques for analyzing data, and making informed decisions. Learn the differences between descriptive and inferential statistics, and how to use each. This discipline is essential for enabling professionals and researchers to evaluate trends, test theories, and drive improvement and innovation in any industry.View Course
Descriptive Statistics
- 1 Videos
- 6m
Accurately interpreting data collected during testing phases is crucial for enhancing processes and workflows. Descriptive statistics are summary measures that describe, show, or summarize the characteristics of data in a meaningful way. Ensuring that all team members are proficient in descriptive statistics and their proper application, we can make informed decisions that drive performance improvements.View Course
Graphs & Charts
- 1 Videos
- 8m
When it comes to seeing how processes change over time, the ability to graph and make charts of data can be invaluable, especially for continuous improvement practitioners. Graphs and charts can even help emphasize different attributes of the same data. But how do we know if we’re using the best visuals for our particular data set? This course will help with that decision.View Course
Inferential Statistics
- 38 Videos
- 2h 32m
Having a solid understanding of the scientific method and how to study a small sample of data in order to make decisions about an entire population is what usually separates excellent Continuous Improvement Practitioners from average ones. In the next series of videos we really dig into topics such as hypothesis testing and normality. Finally, you will never need to use ALL of these tools in a single project… but it’s still important you understand the tool allowing you to use it when the time is right.View Course
Statistical Process Control
- 2 Courses
- 28 Videos
Statistical Process Control, or SPC, is a method to monitor, control, and enhance processes. SPC enables us to build consistent, predictable processes by studying data over time and minimizing variation. Learn the five steps of Statistical Process Control, how to create a sampling plan, set subgroup sizes and sample sizes, the difference between attribute and variable data, how to select and create the appropriate type of Control Chart for each situation, and more.View Courses
Process Capability
- 9 Videos
- 46m
Have you ever wondered what “Six Sigma” really means from a statistical perspective? If so, you’re about to learn. Additionally, you’re also going to learn the key relationship between the Voice of the Customer and the Voice of Process as well as how to measure this relationship with Process Capability Analysis.View Course
ANOVA
- 9 Videos
- 48m
ANOVA, or Analysis of Variance, is a method for comparing the means of three or more samples to determine if at least one of the sample means differs statistically from the others. Learn the key statistics concepts of main effects, interaction, influence, degrees of freedom, the F- statistic, R‑squared, and how to follow the step-by-step process for conducting one-way and two-way ANOVAs.View Course
Regression
- 9 Videos
- 51m
When applicable, being able to determine how “correlated” variables are can be extremely enlightening as it can allow us to build predictive models. But, as you will learn, there is a key difference between correlation and causation so settle in and prepare to have some fun with regression!View Course
Measurement System Analysis
- 3 Videos
- 22m
The total variation of a system is the sum of the actual variation of a product, process, or system and the measurement system variation. MSA, or Measurement System Analysis, is a statistical method to analyze whether the variation within our measurement system is acceptable. Learn the five characteristics of a measurement system, the difference between attribute and variable data MSA, and the steps to conduct and perform a Gage R&R.View Course
Design of Experiments
- 13 Videos
- 1h 57m
Design of Experiments, or DOE, is one of the most powerful tools available to Lean & Six Sigma practitioners. Sadly, many people simply don’t understand what an authentic DOE is or, in some cases, some practitioners mistakenly believe their one factor at a time experiment is in fact a DOE when, really, it isn’t.View Course
Continuous Improvement & Control
- 4 Videos
- 21m
The final phase of a DMAIC project is Control. The purpose of this phase is to sustain the solutions and prevent problem recurrence. This requires taking actions to update documents and standards, conduct training and communication regarding the changes, and committing to continuous monitoring and improvement of the process. Learn the key deliverables and activities in the Control Phase that enable this.View Course
Failure Modes and Effects Analysis (FMEA)
- 16 Videos
- 1h 18m
Failure Modes and Effects Analysis, abbreviated FMEA, is a structured approach for identifying the ways that a product or process can fail, what causes the failure, and how this affects the customer. Learn how to apply FMEA to improving the safety, reliability, and performance of processes, products, and services.View Course
The DMAIC Process
- 8 Videos
- 12m
DMAIC is a five-phase approach for designing, delivering, and sustaining improvement projects. Learn the objectives of each phase, the structured activities of each phase, common statistical tools and analysis techniques used during each phase, how to conduct tollgate reviews between each phase, and how project leaders must handle project closure.View Course
8D Problem Solving
- 11 Videos
- 52m
The 8D problem-solving process was established in the early 1980s by the Ford Motor Company with the goal of standardizing and improving problem-solving capabilities in their supply chain. Launched under the name of “Team Oriented Problem-Solving Using the Eight Disciplines,” it’s commonly practiced as 8D. Learn how to form teams, contain problems, scope projects, identify root causes, implement corrective actions and preventive measures, and recognize the team’s success.View Course
Critical Inputs
- 4 Videos
- 13m
In the Six Sigma DMAIC approach we identify, evaluate, and optimize the critical inputs, or Xs, that significantly influence our primary metric and overall process performance. Learn how to use tools like process mapping, the Cause & Effect Matrix, and FMEA to identify process inputs and narrow them down to the critical Xs.View Course