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Refresh statistical data analysis with your software of choice Mixte : présentiel / à distance

Dernière mise à jour : 31/01/2024

Bannière visuelle de présentation de la formation


  • Recall the basics of statistics 
  • Practice the most common graphic and statistical tools for data analysis 
  • Use the statistical software of your choice (Ellistat, Minitab or SigmaXL) 
  • Progress in the practical use of statistics and help, if necessary, with the choice of software

Description et contenu

The training focuses on practical use of graphic and statistical tools with a short theoretical reminder and examples, exercises and case studies (including some real cases from the medical or pharmaceutical field) whose solutions are detailed with the commands and dialog boxes of software as well as the complete interpretation of the results. 

In the last chapter, we will also give a data analysis procedure as well as tools to help choose the graphical and statistical tools to use depending on the context in which we are. 


  • Introduction to the software chosen for the training 
  • The normal distribution and its properties 
  • Timeline charts and stability checking 
  • Frequency graphs 
  • Scatter plots and matrix plots 
  • Gage R&R for continuous and discrete measurements 
  • Control charts (Individual and Xbar-R) 
  • Capability studies and the case of non-normal data 
  • Simple linear regression and introduction to multiple regression 
  • Hypothesis testing and power calculation 
  • Data analysis procedure, selection tools and case studies 

Software of your choice :

  •     Ellistats
  •     Minitab
  •     SigmaXL

Public visé

Intended primarily for people who have already used some statistical tools, whether in the context of their work in a company and/or in the context of Six Sigma projects linked to or following Green Belt or Black Belt training, and/or people who have followed one or another statistical training module such as graphic and statistical bases, design of experiment (DOE), statistical process control, etc. 

It can also be followed by someone who has never used a software other than Excel but who, ideally, has some basics in statistics. 

This training is given exclusively for one company (intra), either at the client's premises (2 consecutive days - max. 10 participants), or remotely (4 half-days spread over a maximum of 2 weeks).


Have a good foundation in descriptive statistics.

Modalités pédagogiques

Teaching methods:


  • Corrected exercises / debates / examples and interactions will allow you to fully understand the different concepts, with the help of Excel files provided via a USB key. 
  • A case study simulating a real case will serve as a guideline for the training. 
  • Use of demos, examples and simulations to provide a better understanding of some more complex statistical concepts. 

Means of evaluation :


  • Continuous evaluation during training via questioning, feedback and regular summaries. 
  • Use of a summary produced with the participants at the start of the second day of training or the various remote sessions. 

Informations complémentaires

Come to training with a laptop equipped with Excel and a statistical software (Ellistat, Minitab or SigmaXL), or a demo version of the software. For Minitab this is the Desktop demo version and not the online version to be installed if possible the day before the training (because it is valid for 30 days). 


This training is only for intra-company.

Profil du / des Formateur(s)

Bruno Renaux is a Belgian consultant and trainer. Trained as a metallurgical civil engineer (University of Liège, Belgium) with an additional degree in Business Administration from the same university, he first worked in applied research, then in two industrial companies (supplier quality assurance and ISO9001 and SPC implementation) before becoming a consultant in 1992, first for a consulting firm, and since 1998 as an independent consultant.

He specializes in training and coaching for Six Sigma, Lean Six Sigma and DFSS (Design For Six Sigma) projects, and more generally in process control (manufacturing, transactional services and processes, measurement processes), data analysis, and statistical tools such as design of experiments and sampling plans.

He provides training and assistance to testing and calibration laboratories for requirements in terms of method validation and measurement uncertainty calculation.



Renaux Bruno

Statistique Amélioration continue Laboratoire Incertitude

Bruno Renaux est un consultant-formateur belge. Ingénieur civil métallurgiste de formation (Université de Liège, Belgique) avec un diplôme complémentaire en Administration des Affaires de la même université, il a travaillé d’abord en recherche appliquée, ensuite dans deux entreprises industrielles (assurance qualité fournisseurs et mise en place ISO9001 et SPC) avant de devenir consultant en 1992, tout d’abord pour un cabinet-conseil, et depuis 1998 comme consultant indépendant.
Il est notamment spécialisé dans la formation et le coaching de projets Six Sigma, Lean Six Sigma et DFSS (Design For Six Sigma), et d’une façon générale dans la maîtrise des processus (manufacturing, services et process transactionnels, processus de mesure), l’analyse des données, et les outils statistiques tels que notamment les plans d’expériences et les plans d’échantillonnage.
Il intervient dans les formations et l’assistance des laboratoires d’essais et d’étalonnage pour les exigences en termes de validation des méthodes et calcul d’incertitude de mesure.

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Prochaines Sessions

  • Désolé, cette formation n'est pas programmée pour le moment.

    Si vous êtes responsable formation, vous pouvez faire une requête pour l'organiser en INTRA dans votre entreprise.

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