ESSC Data Talk - August
2025-08-05 10:00 - 11:00 (Europe/Berlin) | Online
The ESSC Monthly Data Talk is the open platform for association members who are involved in Six Sigma and statistics. The focus here is on your questions and challenges – be it a general or specific question on statistical data analysis, a project topic or simply the desire to exchange ideas with like-minded people.
Our hosts contribute their expertise and provide valuable input – but you set the agenda! Bring your concerns, benefit from our collective expertise and find solutions together. Open, practical and constructive – that’s what makes the ESSC Monthly Data Talk so special.
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Join now and become part of the ESSC Data Talk Community!
✔ Take the opportunity to exchange ideas with your peers.
✔ Gain valuable insights and discuss your questions directly with experts.
✔ Participation is free of charge and exclusively for ESSC members.
✔ Every first Tuesday of the month, 10:00 – 11:00 a.m. – participate online and join the discussion!
✔ Further details can be found on our event page: LINK
✔ Register now and secure your place!
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Impulse topics
Just in case there is still time for topics, the following topics have been prepared as “discussion impulses”:
01.04. Measurement system analysis (MSA)
06.05. Process capability analysis
03.06. Statistical design of experiments (DoE)
01.07. Statistical process control (SPC)
05.08. The right graphic for the right occasion
02.09. Best practices in Six Sigma projects
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Secure your place now for our ESSC Monthly Data Talk! We look forward to an inspiring exchange, practical discussions and valuable input on Six Sigma and statistics.

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You can find other interesting dates relating to quality management in the QZ-online.de diary
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ESSC Data Talk - September
2025-09-02 10:00 - 11:00 | Online

Workshop: Basics of statistics & data analysis
2026-01-28
This module offers a sound introduction to the world of quality statistics. It is aimed at anyone who wants to develop their data skills and apply statistical methods with confidence – in an understandable, practical way and with direct benefits for everyday working life.
Participants learn how to apply statistical methods with confidence, interpret results and act as an internal contact person for data-based decisions.
Core content:
➡ Introduction to statistical methods for process analysis and quality control – practical.
➡ Exploratory data analysis and visualization, e.g. with boxplots, histograms, scatterplots.
➡ Hypothesis tests such as t-test and ANOVA using concrete examples with interpretation.
➡ Simple and multiple linear regression for forecasting target variables.
➡ Dealing with non-normally distributed data, including transformations for tests and modeling.
➡ Measurement system analyses (MSA), also attributive and with image processing, e.g. camera systems.
➡ Process capability analyses and tolerance intervals, including Cp, Cpk, Pp, Ppk – for normally and non-normally distributed processes.
Dates (ONLINE)

Block 1 (6h): 12.09.2025, from 08:00 to 14:30
Block 2 (5h): 19.09.2025, from 08:00 to 13:30
Block 3 (5h): 26.09.2025, from 08:00 to 13:30

Become part of the Data Excellence Experience – we look forward to your participation!
Further modules and information: LINK
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You can find other interesting dates relating to quality management in the QZ-online.de diary
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Workshop: Service life and reliability analysis
2026-02-04 | ESSC-D Workshop / Training
Participants learn modern methods for evaluating and safeguarding product reliability. They will be able to evaluate service life data in a targeted manner, plan tests efficiently and act as internal experts for service life and reliability issues.
Core content of this module:
➡ Test strategies for service life prediction – from EOL tests to HASS, HALT and Success Run.
➡ Analysis of failure distributions and selection of suitable statistical models (e.g. Weibull, lognormal).
➡ Dealing with censored and uncensored data, including data evaluation of partial information.
➡ Calculation of typical reliability indicators such as MTTF, MTBF, B10 or Lambda.
➡ Planning and evaluation of accelerated service life tests, incl. Arrhenius and Coffin-Manson models.
➡ Use of regression techniques with service life data, e.g. Cox models.
➡Practical implementation of warranty analyses and interpretation of operational field data.

Dates (ONLINE)

Block 1 (4h): 09.09.2025, from 09:00 to 13:00
Block 2 (4h): 16.09.2025, from 09:00 to 13:00
Block 3 (4h): 23.09.2025, from 09:00 to 13:00
Block 4 (4h): 30.10.2025, from 09:00 to 13:00

Become part of the Data Excellence Experience – we look forward to your participation!
Further modules and information: LINK
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You can find other interesting dates relating to quality management in the QZ-online.de diary
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Workshop: Methods of Operational Excellence
2026-03-02 | Online
The module provides participants with a broad overview of the history of operational excellence and project management methods and philosophies. Insights into organizational and systems theory, including topics such as modern leadership and work psychology, shed light on essential framework conditions for successful collaboration. Progressive topics such as design thinking and non-hierarchical companies complete the picture and prepare participants for the self-organized, agile future.
Core content of this module:
➡ Project management methodology: From classic (waterfall) to agile methods (SCRUM / Kanban)
➡ “Theoretical & Consulting” OpEx concepts – Juran Model, “CIMS” (C. Cormier), “OpEx Consultants” CI System
➡ Design Thinking – an alternative, human-centred method for creative problem solving and product development
➡ Organization as a socio-technical system: basics of organizational and systems theory
➡ Positive psychology & new leadership – factors for successful work in organizations
➡ Progressive forms of organization: from authoritarian hierarchy to autonomous teams and hierarchy-free organizations (Teal)

Dates (ONLINE)

Block 1 (4h): 15.10.2025, from 08:00 am to 12:00 pm
Block 2 (4h): 29.10.2025, from 08:00 am to 12:00 pm
Block 3 (4h): 12.11.2025, from 08:00 am to 12:00 pm
Block 4 (4h): 26.11.2025, from 08:00 am to 12:00 pm

Become part of the Data Excellence Experience – we look forward to your participation!
Further modules and information: LINK
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You can find other interesting dates relating to quality management in the QZ-online.de diary
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Workshop: Soft skills for Six Sigma projects
2026-04-23 | Online
Participants strengthen their communication and moderation skills and gain confidence in dealing with complex group situations. They will not only be able to apply Six Sigma methodological tools with confidence, but will also be able to lead and support project teams competently.
Core content of this module:
➡ Analyzing target groups and defining learning objectives in order to convey content clearly and effectively.
➡ Creating convincing presentations that are professional in terms of both content and visuals.
➡ Communication techniques for conflict management in order to recognize and defuse tensions at an early stage.
➡ Dealing confidently with difficult participants, e.g. in workshops or project meetings. ➡ Giving feedback and using coaching methods to promote development and strengthen motivation. e.g. in workshops or project meetings.
➡ Giving feedback and applying coaching methods to promote development and strengthen motivation.
➡ Time and resource management in projects to ensure that goals are achieved realistically and efficiently.
➡ Change management & dealing with resistance to successfully support change processes.
Dates (ONLINE)

Block 1 (8h): 13.11.2025, from 08:00 to 17:00
Block 2 (8h): 14.11.2025, from 08:00 to 17:00

Become part of the Data Excellence Experience – we look forward to your participation!
Further modules and information: LINK
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You can find other interesting dates relating to quality management in the QZ-online.de diary
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Workshop: Statistical Modeling & Machine Learning
2026-05-04 | ESSC-D Workshop / Training
Participants acquire in-depth knowledge of modern data modeling, are able to integrate ML methods into their work in a meaningful way and support data-driven decisions for process improvements.
Core content of this module:
➡ Multivariate methods and classical regression models (refresher) to refresh statistical basics.
➡ Introduction to data orchestration and machine learning – understanding supervised and unsupervised learning.
➡ Model setup with KNIME®, Minitab® and Python, including data preparation, feature engineering and validation.
➡ Classification and regression methods such as decision trees, Naive Bayes or neural networks.
➡ Differences between classical and ML-based models, including fields of application and limitations.
➡ Practical application of ML methods for process optimization, including visualization and interpretation.
➡ Confident handling of model quality, cross-validation and model comparison for well-founded decisions.

Dates (ONLINE)

Block 1 (8h): 08.10.2025, from 08:00 to 17:00
Block 2 (4h): 09.10.2025, from 08:00 am to 12:00 pm
Block 3 (4h): 30.10.2025, from 08:00 a.m. to 12:00 p.m.

Become part of the Data Excellence Experience – we look forward to your participation!
Further modules and information: LINK
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You can find other interesting dates relating to quality management in the QZ-online.de diary
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Workshop: Advanced statistics for Master Black Belts
2026-05-25 | ESSC-D Workshop / Training
Participants significantly expand their statistical expertise and learn how to solve complex problems analytically in practice. They gain confidence in the selection, application and interpretation of advanced statistical methods and are able to communicate these in a target group-oriented manner.
Core content of this module:
➡ In-depth study of special regression methods such as binary and Poisson regression for analyzing countable and dichotomous data.
➡ Discriminant analysis and cluster methods to recognize group differences and make structures visible.
➡ Principal component analysis and dendrograms for dimension reduction and exploratory analysis.
➡ Multivariate quality control charts for monitoring multidimensional process variables.
➡ Non-parametric tests and their use when classical prerequisites are violated.
➡ Time series analysis with ARIMA models, reliably identify trend and seasonal effects.
➡ Idea of simulation techniques such as Monte Carlo and discrete models to make robust decisions in the face of uncertainty.

Dates (ONLINE)

Block 1 (4h): 19.09.2025, from 08:00 am to 12:30 pm
Block 2 (4h): 22.09.2025, from 08:00 am to 12:30 pm
Block 3 (4h): 24.09.2025, from 08:00 am to 12:30 pm
Block 4 (4h): 26.09.2025, from 08:00 am to 12:30 pm

Become part of the Data Excellence Experience – we look forward to your participation!
Further modules and information: LINK
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You can find other interesting dates relating to quality management in the QZ-online.de diary
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Workshop: Roll-outs & implementation
2026-09-18 | ESSC-D Workshop / Training
Participants learn how to efficiently plan, roll out and anchor improvement projects under real-life conditions. They strengthen their ability to manage change processes and can act as strategic multipliers for excellence methods.
Core content of this module:
➡ Implementing lean principles, including store floor management, types of waste and standardization.
➡ Designing change processes effectively, taking into account group dynamics and resistance.
➡ Building and prioritizing project portfolios, including sensible project selection and success criteria.
➡ Combining agile methods, e.g. SCRUM, Kanban and classic Six Sigma approaches.
➡ Successfully initiating a DFSS rollout, including team enthusiasm and dealing with critical mass.
➡ Integrating Lean Six Sigma into service and production areas, with a look at practical examples.
➡ Time-to-market strategies and lessons learned to anchor methods sustainably in the company.

Dates (presence, 22880 Wedel)
If you would prefer to attend this module online, please let us know.

Block 1 (8h): 10.07.2025, from 08:00 to 17:00
Block 2 (8h): 11.07.2025, from 08:00 to 17:00

Become part of the Data Excellence Experience – we look forward to your participation!
Further modules and information: LINK
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You can find other interesting dates relating to quality management in the QZ-online.de diary
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Workshop: Experimental Design & Design of Experiments (DoE)
2026-10-08 | Online
Participants develop a firm understanding of the structure, implementation and evaluation of test plans. They will be able to recognize typical pitfalls, optimize experiments and effectively support teams in their practical implementation.
Core content of this module:
➡ Basics of full and partial factor experimental designs – structure, analysis and interpretation (refresher).
➡ Understanding and dealing with alias structures to correctly interpret interactions.
➡ Experimental design with discriminatory power analysis to control the effort in a targeted manner.
➡ Use center points in a targeted manner to check non-linearities and reproducibility.
➡ Effect area and extended DoE methods such as RSM, D-optimal or definitive screening designs.
➡ Select and apply special DoE forms such as mixture and Taguchi experimental designs.
➡ Strategies for failed experiments and incomplete data – robust planning and flexible adaptation.

Dates (ONLINE)

Block 1 (4h): 30.09.2025, from 08:30 am to 12:30 pm
Block 2 (4h): 02.10.2025, from 08:30 am to 12:30 pm
Block 3 (4h): 08.10.2025, from 08:30 am to 12:30 pm
Block 4 (4h): 10.10.2025, from 08:30 am to 12:30 pm

Become part of the Data Excellence Experience – we look forward to your participation!
Further modules and information: LINK
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You can find other interesting dates relating to quality management in the QZ-online.de diary
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