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    • What Makes Our Training Sessions Different?Our approach based on 25 years teaching applied statistics
    • Corporate Training SessionsOur most popular format, confidential and fully customisable
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    • Research & DevelopmentLearn about DoE to control variation inherent to every experiment, and the analysis of designed experiments. Courses are aimed at scientists, laboratory staff.
    • Multivariate MethodsLearn about multivariate methods and their insightful graphical data summaries. Discover popular and others less known, some classical as well as more recent ones with focus on real-life applications.
    • Market ResearchDiscover statistical tools for making good strategic decisions in the presence of uncertainty. Real-life business & marketing applications, such as segmentation and mapping, are covered.
    • Design of ExperimentsUncover the potential of DoE techniques to control variation inherent to every experiment. Learn about factorial, screening, optimisation designs as well as statistical tools for their analysis.
    • EngineeringDesigned for engineers, learn how to control variation present in every engineering situation. Some sessions deal with the design of experiments (DOE), while others focus on statistical data analysis.
    • ModellingLearn about classic and recent modelling technique to relate different types of variables in an explanatory or predictive perspective and tools for assessing model performance.
    • Life SciencesDesigned for researchers and medical liaisons, this module covers key biostatistical concepts for developing critical reading skills of the medical literature : bias, uncertainty and scope of the results.
    • Data VisualisationDiscover the potential of multivariate & data mining tools for generating insights through data mapping & visualisation.
    • Predictive AnalyticsLearn good practices for successful predictive model-building. Whether you work in R&D, finance or marketing, you will find this module valuable. Real-life applications are used to illustrate the process.
    • R SoftwareHarness the power of R, a free software environment for statistical computing and graphics. Learn how to use R for data visualisation, analysis & modelling. Learn how to master the basics of this open source language.
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MENUMENU
  • Home
  • Consulting
    • BiostatisticsClassic & Modern Solutions for Life Sciences
    • Machine Learning for EngineersAdvanced Tools for Engineering Applications
    • Predictive Analytics & Market ResearchNovel Data & Machine-Learning Based Solutions
    • Software Solutions & Migration to RTailored Solutions, Training & Coaching
  • Training & Tutoring
    • What Makes Our Training Sessions Different?Our approach based on 25 years teaching applied statistics
    • Corporate Training SessionsOur most popular format, confidential and fully customisable
    • Distance LearningAn efficient way to adapt the pace and keep costs low
    • Individual & Team CoachingThe ideal approach to implement new knowledge into your daily work
  • Training Catalog
    • Research & DevelopmentLearn about DoE to control variation inherent to every experiment, and the analysis of designed experiments. Courses are aimed at scientists, laboratory staff.
    • Multivariate MethodsLearn about multivariate methods and their insightful graphical data summaries. Discover popular and others less known, some classical as well as more recent ones with focus on real-life applications.
    • Market ResearchDiscover statistical tools for making good strategic decisions in the presence of uncertainty. Real-life business & marketing applications, such as segmentation and mapping, are covered.
    • Design of ExperimentsUncover the potential of DoE techniques to control variation inherent to every experiment. Learn about factorial, screening, optimisation designs as well as statistical tools for their analysis.
    • EngineeringDesigned for engineers, learn how to control variation present in every engineering situation. Some sessions deal with the design of experiments (DOE), while others focus on statistical data analysis.
    • ModellingLearn about classic and recent modelling technique to relate different types of variables in an explanatory or predictive perspective and tools for assessing model performance.
    • Life SciencesDesigned for researchers and medical liaisons, this module covers key biostatistical concepts for developing critical reading skills of the medical literature : bias, uncertainty and scope of the results.
    • Data VisualisationDiscover the potential of multivariate & data mining tools for generating insights through data mapping & visualisation.
    • Predictive AnalyticsLearn good practices for successful predictive model-building. Whether you work in R&D, finance or marketing, you will find this module valuable. Real-life applications are used to illustrate the process.
    • R SoftwareHarness the power of R, a free software environment for statistical computing and graphics. Learn how to use R for data visualisation, analysis & modelling. Learn how to master the basics of this open source language.
  • Contact Us