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Categorii training |
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Traininguri cu recunoastere internationala |
Pentru a va asigura de calitatea programelor de training si de recunoasterea internationala a diplomelor pe care le obtineti, Trilex este :
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Cautati in site-ul Trilex |
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Introduceti termenul dorit si apasati butonul Cauta.
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Lectie individuala online:
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Analiza date in Six Sigma
Exploratory Data Analysis in Six Sigma |
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Lectie online |
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Cod training |
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oper_08_a01 |
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Categoria |
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Six Sigma |
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Durata
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1.5 ore |
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* Pretul pentru aceasta lectie online il gasiti pe site-ul distribuitorului
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Pe aceasta pagina:
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AUDIENTA
- project manager
- manageri
- echipa de proiect
- portfolio analist
- six sigma belt
- etc
Candidates seeking Six Sigma Green Belt certification, quality professionals, engineers, production managers, and frontline supervisors, process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Sus
DESCRIERE
TRAINING
In the Analyze stage of the Six Sigma DMAIC process, you closely examine the output variable (known as y) and its possible causes or input variables (known as x's) collected in the Measure stage to get a deeper understanding of their relationships. The goal of this analysis is to narrow down the many possible x's identified earlier during the Measure stage, to a few probable ones. This analysis is generally conducted through the use of two important toolsets: exploratory data analysis and hypothesis testing.
Methods and tools used in these broad toolsets help to identify a few probable root causes impacting process performance and the Six Sigma project goal. This course introduces some key exploratory data analysis tools used in Six Sigma such as multi-vari studies, correlation, and regression models. The course takes you through the multi-vari analysis to identify positional, cyclical, and temporal variations and how to apply an effective sampling plan for conducting this analysis.
It also explains the correlation coefficient, its statistical significance, and how it is different from causation. In addition, the course helps you interpret the linear regression equation and explores how you can use it to model relationships for prediction and estimation of data. This course is aligned with the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Sus
CUNOSTINTE PRELIMINARE NECESARE
Pentru a beneficia din plin de acest training aveti nevoie de urmatoarele cunostinte preliminare:
- o buna cunoastere a limbii engleze
- familiaritate in utilizarea calculatorului si acces la Internet>
- utilizare calculator si acces Internet
Sus
STRUCTURA TRAINING (SUBIECTE ABORDATE)
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Exploratory Data Analysis in Six Sigma
- recognize how multi-vari analysis helps a Six Sigma team during the Analyze stage
- match the steps in a multi-vari analysis to their descriptions
- match variation types with their graphical examples
- sequence examples of the steps in creating a sampling plan for a multi-vari analysis
- interpret scatter diagrams to determine the correlation between variables
- match the correlation coefficient value with the scatter diagram that best illustrates that value
- identify reasons why Six Sigma teams should determine the statistical significance of a correlation coefficient
- match statements about correlation and causation to examples of their respective characteristics
- predict a variable value for a given regression model and other variable value
- recognize the elements of the simple linear least-squares regression equation in a given example
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COMANDATI
ACEASTA LECTIE ONLINE
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Comandati aceasta lectie online si:
- puteti invata oriunde si cand doriti, acasa sau la servici
- invatati termenii direct in engleza pentru a evita neclaritatile
- efectuati simulari si teste de verificare in engleza, la fel ca pentru examenele de certificare
- aveti acces la traininguri profesionale aliniate la standarde internationale
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Cumpara online de la: elearningshop
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Sus 
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The PMI logo, PMI Registered Education Provider logo, PMP, CAPM, PMBOK, OPM3, PMI-RPM are registered marks of the Project Management Institute, Inc.
PRINCE2® is a Registered Trade Mark of the Office of Government Commerce in the United Kingdom and other countries.
The Swirl logo™; is a Trade Mark of the Office of Government Commerce
BABOK®, Business Analysis Body of Knowledge®;, IIBA®, and the IIBA® logo are registered trademarks owned by International Institute of Business Analysis.
CBAP® and the CBAP logo are registered certification marks owned by International Institute of Business Analysis.
Certified Business Analysis Professiona™, EEP™ and the EEP logo are trademarks owned by International Institute of Business Analysis.
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