Global Certificate in Lean Six Sigma: Statistical Analysis

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The Global Certificate in Lean Six Sigma: Statistical Analysis is a comprehensive course that emphasizes the application of statistical methods to improve business processes, reduce waste, and increase efficiency. This course is vital for professionals seeking to advance their careers in project management, operations, quality control, and data analysis.

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AboutThisCourse

With the increasing industry demand for Lean Six Sigma practitioners, this course provides learners with essential skills to drive operational excellence and Data-Driven Decision Making (DDDM). Learners will master various statistical tools, such as Hypothesis Testing, Analysis of Variance (ANOVA), Regression Analysis, and Design of Experiments (DOE). Upon completion, learners will be equipped with the skills to lead data-driven process improvement projects, enhance their organization's performance, and boost their earning potential. This globally recognized certification course is a significant step towards career advancement and a testament to a professional's commitment to continuous learning and development.

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โ€ข Unit 1: Introduction to Lean Six Sigma & Statistical Analysis
โ€ข Unit 2: Data Types, Collection, and Analysis
โ€ข Unit 3: Descriptive Statistics & Data Distribution
โ€ข Unit 4: Probability Concepts & Probability Distributions
โ€ข Unit 5: Hypothesis Testing & Confidence Intervals
โ€ข Unit 6: Analysis of Variance (ANOVA)
โ€ข Unit 7: Regression Analysis & Correlation
โ€ข Unit 8: Design of Experiments (DOE)
โ€ข Unit 9: Statistical Process Control (SPC)
โ€ข Unit 10: Lean Six Sigma Tools for Statistical Analysis

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  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
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StandardMode GBP £90
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  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
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GLOBAL CERTIFICATE IN LEAN SIX SIGMA: STATISTICAL ANALYSIS
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London School of International Business (LSIB)
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05 May 2025
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