Explore the Stemann Consulting training portfolio: Six Sigma Yellow Belt, Green Belt, Black Belt, Design of Experiments, Data Literacy, Process Mining, Data Mining, Lean Management and more
The Six Sigma Yellow Belt training introduces DMAIC, essential Lean Six Sigma tools and the role of team members in improvement projects. It is designed for employees who want to contribute to process improvement with a sound methodological foundation
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The Six Sigma Green Belt training combines DMAIC, statistics and project coaching. Participants work on a real improvement project and learn how to validate root causes, implement solutions and sustain measurable results
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The Six Sigma Black Belt training covers advanced DMAIC, Minitab, regression, Design of Experiments and change management. It is designed for experienced Green Belts leading complex cross-functional improvement projects
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The Six Sigma Master Black Belt training develops expertise in deployment, coaching and governance. Participants learn how to support Belts, steer project portfolios and establish Six Sigma as a sustainable management system
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The Six Sigma Champion training prepares leaders and sponsors to select the right projects, secure resources and connect DMAIC initiatives with business priorities and measurable value
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The Digital Transformation training shows how process knowledge, data and technology can be combined into an actionable roadmap. It focuses on maturity, automation, relevant use cases and measurable business value
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The Design of Experiments training shows how to plan and analyze experiments more efficiently than traditional one-factor-at-a-time testing. Participants identify main effects and interactions and derive robust process settings
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The Data Literacy training builds confidence in working with data, KPIs and visualizations. Professionals and leaders learn how to assess data quality, interpret results correctly and communicate evidence clearly
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The Statistical Methods training covers descriptive statistics, distributions, hypothesis tests, correlation, regression and ANOVA through practical examples and clear decision rules
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The Lean Management Basic Training covers value creation, the types of waste, 5S, standard work and continuous improvement. The methods apply to manufacturing, logistics, services and administrative processes
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The Data Mining training follows the CRISP-DM process from data preparation to clustering, classification and prediction. Participants learn how to assess models and translate analytical results into practical decisions
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The Process Mining training covers event logs, process discovery, conformance checking and performance analysis. It makes real process variants, waiting times and bottlenecks visible and actionable
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