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 […]
Our Six Sigma Meetup, organized in cooperation with digiZ | Digitalisierungszentrum, IHK Ostwürttemberg, the districts of Heidenheim and Ostalbkreis as well as the European Six Sigma Club Deutschland e.V. (ESSC-D), offers valuable insights and practical impulses - regardless of your previous experience. What can you expect? Practical approaches to improving processes and product quality Strategies […]
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 […]
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 […]
Participants learn how to apply statistical methods with confidence, interpret results and act as an internal contact person for data-based decisions.
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, […]
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 […]
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 […]
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 […]
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, […]
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 […]
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 […]
