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Biostatistics
Classic & Modern Solutions for Life Sciences
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Advanced Tools for Engineering Applications
Predictive Analytics & Market Research
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Training & Tutoring
What Makes Our Training Sessions Different?
Our approach based on 25 years teaching applied statistics
Corporate Training Sessions
Our most popular format, confidential and fully customisable
Distance Learning
An efficient way to adapt the pace and keep costs low
Individual & Team Coaching
The ideal approach to implement new knowledge into your daily work
Training Catalog
Research & Development
Learn about DoE to control variation inherent to every experiment, and the analysis of designed experiments. Courses are aimed at scientists, laboratory staff.
Multivariate Methods
Learn 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 Research
Discover 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 Experiments
Uncover 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.
Engineering
Designed 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.
Modelling
Learn 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 Sciences
Designed 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 Visualisation
Discover the potential of multivariate & data mining tools for generating insights through data mapping & visualisation.
Predictive Analytics
Learn 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 Software
Harness 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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Home
Consulting
Biostatistics
Classic & Modern Solutions for Life Sciences
Machine Learning for Engineers
Advanced Tools for Engineering Applications
Predictive Analytics & Market Research
Novel Data & Machine-Learning Based Solutions
Software Solutions & Migration to R
Tailored Solutions, Training & Coaching
Training & Tutoring
What Makes Our Training Sessions Different?
Our approach based on 25 years teaching applied statistics
Corporate Training Sessions
Our most popular format, confidential and fully customisable
Distance Learning
An efficient way to adapt the pace and keep costs low
Individual & Team Coaching
The ideal approach to implement new knowledge into your daily work
Training Catalog
Research & Development
Learn about DoE to control variation inherent to every experiment, and the analysis of designed experiments. Courses are aimed at scientists, laboratory staff.
Multivariate Methods
Learn 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 Research
Discover 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 Experiments
Uncover 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.
Engineering
Designed 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.
Modelling
Learn 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 Sciences
Designed 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 Visualisation
Discover the potential of multivariate & data mining tools for generating insights through data mapping & visualisation.
Predictive Analytics
Learn 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 Software
Harness 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
