\u27a1 In-depth study of specific regression methods, such as binary and Poisson regression, for analyzing countable and dichotomous data.
\n\u27a1 Discriminant analysis and clustering methods to identify differences between groups and reveal underlying structures.
\n\u27a1 Principal component analysis and dendrograms for dimension reduction and exploratory analysis.
\n\u27a1 Multivariate quality control charts for monitoring multidimensional process variables.
\n\u27a1 Nonparametric tests and their use when classical assumptions are violated.
\n\u27a1 Time series analysis using ARIMA models; reliably identify trend and seasonal effects.
\n\u27a1 The concept of simulation techniques such as Monte Carlo and discrete models for making robust decisions in the face of uncertainty.<\/p>\n
Dates (ONLINE)<\/strong><\/h3>\n– 21.09.2026. 8:00 a.m. to 12:30 p.m.
\n– September 22, 2026. 8:00 a.m. to 12:30 p.m.
\n– September 23, 2026. 8:00 a.m. to 12:30 p.m.
\n– September 24, 2026. 8:00 a.m. to 12:30 p.m.
\nDo you have any questions or would you like to participate? We look forward to hearing from you. <\/p>\n
Become part of the Data Excellence Experience – we look forward to your participation!
\n<\/strong>Further modules and information: LINK<\/a><\/p>\n_________________________________________________________________________<\/p>\n
\n– September 22, 2026. 8:00 a.m. to 12:30 p.m.
\n– September 23, 2026. 8:00 a.m. to 12:30 p.m.
\n– September 24, 2026. 8:00 a.m. to 12:30 p.m.
\nDo you have any questions or would you like to participate? We look forward to hearing from you. <\/p>\n
\n<\/strong>Further modules and information: LINK<\/a><\/p>\n
_________________________________________________________________________<\/p>\n
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<\/a><\/p>\n