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.
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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