Workshop: Basics of statistics & data analysis
Participants learn how to apply statistical methods with confidence, interpret results and act as an internal contact person for data-based decisions.
5 events found.
Module training
Events
-
-
-
-
Workshop: Service life and reliability analysis
ESSC-D Workshop / TrainingParticipants 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, […]
-
-
Workshop: Soft skills for Six Sigma projects
OnlineParticipants 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 […]
-
-
Workshop: Statistical Modeling & Machine Learning
ESSC-D Workshop / TrainingParticipants 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 […]
-
-
Workshop: Experimental Design & Design of Experiments (DoE)
OnlineParticipants 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 […]
