Lean Six Sigma Green Belt Virtual-live Certification Training – Europe

Price range: USD 1,399.00 through USD 1,700.00

Prerequisite: Lean Six Sigma Yellow Belt certification by LSSI, ASQ, IASSC or CSSC.

Onsite: $1,700.00
Online: $1,399.00

Please select a starting date to view more details:

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Description

The Lean Six Sigma Green Belt training is designed for professionals who are involved in process improvement initiatives or have a role in leading projects. The training program will equip individuals with the skills and knowledge necessary to identify waste, streamline processes, and make informed decisions based on data and metrics.

If you have not yet obtained your Yellow Belt certification, we recommend starting with the Lean Six Sigma Green Belt Certification Training Bundle.

What’s Included

  • International Certification valid for life from LSSI and CSSC.
  • Two opportunities to pass your exams with at least 80%.
  • Project coaching services to achieve your certification.
  • Teaching Materials, work formats, and downloadable content to complement your training.
  • Access to Minitab Statistical Software.
  • Lean Six Sigma Digital Certification Manuals.
  • Project Management tool for your team.
  • 100% satisfaction guaranteed.

What You Will learn

  • Master Lean Six Sigma Green Belt principles and project leadership.
  • Define and scope Lean Six Sigma projects effectively.
  • Capture and translate the voice of the customer into actionable data.
  • Visualize and map processes to identify improvement opportunities.
  • Assess and improve measurement systems for reliable data.
  • Apply basic statistics for data analysis and problem-solving.
  • Implement efficient sampling techniques for data collection.
  • Create and interpret histograms, box plots, and multi-vari charts.
  • Analyze process capability and performance using KPIs.
  • Conduct Analysis of Variance (ANOVA) to identify sources of variation.

Who is this course for?

  • Certified Lean Six Sigma Yellow Belts
  • Professionals seeking to excel in data-driven decision-making and process improvement.
  • Aspiring project leaders looking to lead Lean Six Sigma projects effectively.
  • Individuals and teams aiming to drive operational excellence within their organizations.

How does Instructor-led training work?

The Lean Six Sigma Instructor-led class is delivered in real-time to remote students through our online platform. In this collaborative environment, you’ll have the opportunity to engage with fellow students from around the globe. These virtual live courses are scheduled twice a week, providing a consistent and structured learning experience.

More information

For more information, please contact us at:

Email: lssi.eu@lssinstitute.org
Phone/WhatsApp: +34 688 782 188

 

Course Content

Learn how to define the scope and objectives of Lean Six Sigma projects, ensuring alignment with organizational goals and a clear roadmap for success.

Explore techniques for capturing and translating the voice of the customer into actionable data, allowing you to design processes that truly meet customer expectations.

Master the art of process mapping to visualize and understand the flow of activities within your organization, helping identify opportunities for improvement.

Discover how to evaluate the accuracy, precision, and stability of measurement systems to ensure reliable data collection.

Develop a strong foundation in basic statistical concepts, including measures of central tendency, variability, and probability, which are vital for data analysis.

Learn the art of sampling techniques to efficiently collect data that accurately represents the entire population, a crucial skill for effective data analysis.

Explore how to create and interpret histograms to gain insights into data distribution and identify patterns and anomalies.

Master the assessment of process capability to determine whether a process can consistently meet customer specifications and requirements.

Analyze process performance using key performance indicators (KPIs) to identify areas for improvement and ensure optimal operational excellence.

Learn how to create and interpret box-plots to visualize data distribution and identify potential outliers and variations.

Gain insights into analyzing variations in data using multi-vari charts, a powerful tool for identifying sources of variation.

Explore Analysis of Variance (ANOVA) to understand the impact of multiple factors on process variation and make data-driven decisions.

Master the analysis of correlation between variables to identify relationships and dependencies that impact processes.

Discover the principles of Design of Experiments (DOE) and how to plan and conduct experiments to optimize processes.

Learn how to implement factorial designs to explore the influence of multiple factors on a process and identify interactions.

Understand the principles of Statistical Process Control (SPC) to monitor and control processes effectively, ensuring consistent performance.

Create robust control plans to sustain process improvements, maintain quality, and prevent deviations in your organization.

Reviews

“LSSI provided us with an interactive experience, the trainer engaging our team through thorough training and thoughtful discussions.”

Maylin Fabian
Sr. Manager – Illumina
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The LSSI system to educate people, the material they use, and the integration of Lean and & 6-Sigma, is the best approach to start or re-engage in the “lean journey”.

Jose-Luis Escobedo
VP of Manufacturing – Hollander
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“LSSI has been instrumental for Biosero. We have documented significant improvement now use Kaizen methods for all business-vital improvements.”

Will Casavan
Global Project Manager – Biosero
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“Hiring LSSI was the best action we could have taken as a company. We are consistently delivering product in 2 to 3 days that once took 3 weeks, we increased capacity by 100%, and our inventory is substantially lower.”

John Darroch
CEO – Apollo Sprayers
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Additional information

GB Calendar Europe

September 2, 2025, September 16, 2025, September 23, 2025, September 29, 2025 OnSite, February 10, 2026, September 15, 2026