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Training

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Training: Forecasting and data analysis in the energy sector

Training: Credit scoring – model development and validation

Training: Statistics in medicine – methods of analysis of variance and regression analysis

Training: Forecasting using machine learning methods in Python

Training: Detecting anomalies in processes using machine learning

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

Training: The basics of data analysis in the R environment

Training: Machine Learning in Python – A Quick Start

Training: Statistical methods for assessing and monitoring product quality in accordance with Annex 15

Training: Statistical methods in the assessment and monitoring of the manufacturing environment

Training: Statistical methods in the assessment and monitoring of product stability

Training: Statistical methods in the development of analytical procedures in accordance with Q14 (QbD)

Training: Statistical methods in the development of a technological process in accordance with Q8 (QbD)

Training: Statistical methods in the validation of analytical procedures in accordance with Q2(R2)

Training: Survey Data Analysis – Advanced Course

Training: Data mining – predictive methods

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

Training: Neural networks

Training: Chemometric Analyses in Statistica - a basic course

Training: Chemometric Analyses in Statistica – Advanced Course

Training: Multivariate analysis

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

Training: Statistical methods in clinical trials – data analysis in bioequivalence studies

Training: Statistical methods in social research

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Training

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List of products

Training: Forecasting and data analysis in the energy sector

Training: Credit scoring – model development and validation

Training: Statistics in medicine – methods of analysis of variance and regression analysis

Training: Forecasting using machine learning methods in Python

Training: Detecting anomalies in processes using machine learning

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

Training: The basics of data analysis in the R environment

Training: Machine Learning in Python – A Quick Start

Training: Statistical methods for assessing and monitoring product quality in accordance with Annex 15

Training: Statistical methods in the assessment and monitoring of the manufacturing environment

Training: Statistical methods in the assessment and monitoring of product stability

Training: Statistical methods in the development of analytical procedures in accordance with Q14 (QbD)

Training: Statistical methods in the development of a technological process in accordance with Q8 (QbD)

Training: Statistical methods in the validation of analytical procedures in accordance with Q2(R2)

Training: Survey Data Analysis – Advanced Course

Training: Data mining – predictive methods

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

Training: Neural networks

Training: Chemometric Analyses in Statistica - a basic course

Training: Chemometric Analyses in Statistica – Advanced Course

Training: Multivariate analysis

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

Training: Statistical methods in clinical trials – data analysis in bioequivalence studies

Training: Statistical methods in social research