Instructor Led Tests Training Classes in Canada
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From Last Minute Training
Preparation for the PMP Certification Exam Up to Five Days
At the end of this class, participants will be prepared to:
* Apply an advanced knowledge of the project management based on the PMBOK model
* Recognize both the content and format of examination questions
* Identify the weak areas that require more individual study
* Pass the Project Management Professional certification examination
Students to this class also receive:
*
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Activated Sludge-Treatment Process Design Control and Troubleshooting 2 Days
Operators of wastewater treatment plants aim for trouble-free operation which requires a thorough understanding of the activated sludge treatment process. The course places appropriate stress on the fundamentals of activated sludge, deals with biological process including microbial activity. It covers design criteria and includes a discussion on operation of an activated sludge wastewater
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Testing Use Case Driven Projects 2 Days
This course teaches students how to leverage their projects use cases to develop test plans, test cases, and test data to support iterative and incremental development. Students will learn principles and practical tips for developing test plans and test cases iteratively. In each lesson,students are taught how to think like a tester and produce key artifacts or deliverables.
During the class
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Writing Testable Requirements 2 Days
Software development often fails because requirements are written poorly, or testing does not adequately cover those requirements, or both. Half of the test effort is just trying to understand the requirements. The better that requirements are written, the higher the likelihood of the development and testing team being able to understand those requirements and focus on their software development
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From Creascience
Fundamental Tools in Statistics
An efficient and effective one-day refresher on the fundamental tools in statistics. This course covers the two main divisions of statistics: descriptive and inferential statistics.
First, the course covers descriptive statistics : the different types of variables, variability, distributions and the characterization of distributions through well-known statistics such as the mean and standard
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An efficient and effective one-day refresher on the fundamental tools in statistics. This course covers the two main divisions of statistics: descriptive and inferential statistics.
First, the course covers descriptive statistics : the different types of variables, variability, distributions and the characterization of distributions through well-known statistics such as the mean and standard
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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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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
...rincipe, ce qu'est une p-value, les risques inh rents aux tests statistiques, les intervalles de confiance).
Ensuite la formation couvre les principes de base en planification d'exp riences: la prise en compte de la variabilit , randomisation, r p tition, blocage et utilisation de t moins. La comparaison de deux groupes et de plus de deux groupes (plans factoriaux) ainsi que les outils pour
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...rincipe, ce qu'est une p-value, les risques inh rents aux tests statistiques, les intervalles de confiance).
Ensuite la formation couvre les principes de base en planification d'exp riences: la prise en compte de la variabilit , randomisation, r p tition, blocage et utilisation de t moins. La comparaison de deux groupes et de plus de deux groupes (plans factoriaux) ainsi que les outils pour
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Logistic Regression
...icators are specific to logistic regression: odds ratios, tests on coefficients. Goodness-of-fit and validation measures specific to logistic regression are also covered.
The use of the regression models for prediction and the principle of variable selection are also discussed during the training session.
Ordinal logistic regression and polytomous regression are also reviewed for ordinal
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...icators are specific to logistic regression: odds ratios, tests on coefficients. Goodness-of-fit and validation measures specific to logistic regression are also covered.
The use of the regression models for prediction and the principle of variable selection are also discussed during the training session.
Ordinal logistic regression and polytomous regression are also reviewed for ordinal
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