Instructor Led Concepts Training in Quebec, Canada
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From Exsultation Inc,
Extensive VHDL

This is a full week VHDL course comprising of our three Modules, descriptions of which can be found on our website. This hands-on course aims to take a beginner and bring that attendee to a productive level. The course is a mix of lecture and labs and introduces both the basics and more advanced concepts of the language. This is an industry based course and aims to steer the user towards
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From Creascience
Les outils essentiels de la statistiques

Cette formation d'une journ e couvre les deux principaux axes sur lesquels s'appuient les m thodes statistiques.
Dans un premier temps, la statistique descriptive est abord e. On y traite des diff rents types de variables, du r le des variables, de la variabilit , des distributions et de la caract risation des distributions statistiques a l'aide d'outils connus tels la moyenne et l' cart-type
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Introduction a la planification d'exp riences


...concepts fondamentaux en statistique d'une mani re non-technique et appliqu e.
Cette formation couvre les aspects suivants: l'importance de reconna tre le type de variables (r le dans l'exp rience, les valeurs qu'elles prennent),les statistiques descriptives, comment mettre en relation des variables, la statistique inf rentielle (principe, ce qu'est une p-value, les risques inh rents aux
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Introduction to the Design of Experiments


...concepts in statistics in a non-technical and applied way.
This session covers the fundamentals of statistics: the importance of recognizing the type of variables (role in the experiment and the values taken), descriptive statistics, relating variables, inferential statistics (mechanism, what is a p-value, the risks involved in statistical testing, confidence intervals). It also discusses
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Advanced Experimental Designs


...concepts in statistics in a non-technical and applied way.
This session focuses on the design and the analysis of more complex experimental designs than those seen in the Introduction to the Design of Experiments course. These designs are used to account for different sources of experimental constraints such as material heterogeneity, physical constraints, repeated measures, etc. Their
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Logistic Regression
... response variable to a set of explanatory variables. The concepts of modeling, parameter estimation, as well as interpretation of model coefficients, goodness-of-fit and validation measures will be reviewed.
Why ordinary multiple linear regression is no longer the appropriate technique to use when the response variable is discussed.
The most classical case of logistic regression is then
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