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Training: An Introduction to Test Power Analysis and Sample Size Estimation

Training: Applications of statistics and the Statistica software in empirical research in dietetics

Training: Applications of statistics in agricultural research – advanced methods

Training: Applications of statistics in agricultural research – basic methods

Training: Artificial intelligence (AI) in multidimensional data analysis

Training: Artificial intelligence (AI) in the process of building machine learning models

Training: Artificial Intelligence and Data Analysis for Industry: Tools and Technologies

Training: Artificial Intelligence – Fundamentals and Applications

Training: Chemometric Analyses in Statistica - a basic course

Training: Chemometric Analyses in Statistica – Advanced Course

Training: Classification models in science – structure, interpretation and evaluation

Training: Credit scoring – additional methods for building models

Training: Credit scoring – model development and validation

Training: Data analysis supported by artificial intelligence (AI)

Training: Data exploration, visualisation and preparation in Python – a quick start

Training: Data mining methods in medicine – diagnosis, pattern discovery, prediction

Training: Data mining – a basic course

Training: Data mining – predictive methods

Training: Data Science in Python – a quick start

Training: Data visualisation in R using the ggplot2 package

Training: Data visualisation in Statistica

Training: Data visualisation using Spotfire

Training: Detecting anomalies in processes using machine learning

Training: DOE – computer-aided planning and statistical analysis of innovative research

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Training: An Introduction to Test Power Analysis and Sample Size Estimation

Training: Applications of statistics and the Statistica software in empirical research in dietetics

Training: Applications of statistics in agricultural research – advanced methods

Training: Applications of statistics in agricultural research – basic methods

Training: Artificial intelligence (AI) in multidimensional data analysis

Training: Artificial intelligence (AI) in the process of building machine learning models

Training: Artificial Intelligence and Data Analysis for Industry: Tools and Technologies

Training: Artificial Intelligence – Fundamentals and Applications

Training: Chemometric Analyses in Statistica - a basic course

Training: Chemometric Analyses in Statistica – Advanced Course

Training: Classification models in science – structure, interpretation and evaluation

Training: Credit scoring – additional methods for building models

Training: Credit scoring – model development and validation

Training: Data analysis supported by artificial intelligence (AI)

Training: Data exploration, visualisation and preparation in Python – a quick start

Training: Data mining methods in medicine – diagnosis, pattern discovery, prediction

Training: Data mining – a basic course

Training: Data mining – predictive methods

Training: Data Science in Python – a quick start

Training: Data visualisation in R using the ggplot2 package

Training: Data visualisation in Statistica

Training: Data visualisation using Spotfire

Training: Detecting anomalies in processes using machine learning

Training: DOE – computer-aided planning and statistical analysis of innovative research