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Six Sigma is a data driven process improvement Methodology, to be owned and led by leadership orienting strategically towards market place and customer satisfaction. Six Sigma is being perceived to take people to higher level of performance with fewer mistakes while making it a strategic option for transforming and organization.

Course Data

Learning Objectives:

  • Design and implement accurate and cost-effective data collection systems that will provide useful data
    for business process analysis.

  • Graphically and mathematically summarize either small samples or large amounts of data in order to
    reach sound conclusions.

  • Collect process data and develop process maps

  • Utilize the predictive power of probability distributions to project process performance in advance.

  • Accurately estimate population characteristics from small sample groups.

  • Evaluate sample data to determine if process interventions are truly effective or to compare various system
    options before making final decisions.

  • Perform exploratory data analysis to detect process patterns and validate assumptions about
    process distributions patterns.

  • Analyze data that does not fit into a particular probability distribution pattern.

  • Develop mathematical models to predict business results from existing data.

  • Determine the strength and direction of the relationship between two variables.

  • alidate the effectiveness and completeness of predictive models.

  • Communicate more effectively with others who require or use statistics in their business activities.

  • Prevent the misuse and misinterpretation of business process data.

  • Perform the quantitative analyses required for successfully completing Six Sigma Black Belt training and
    for the Enlighten-Edu Certified Six Sigma Black Belt and Certified Quality Engineering exams.