The course will teach you the competencies and essential skills required to pass the American Society for Quality (ASQ) Certified Six Sigma Green Belt (CSSGB) exam. This course focuses specifically on the last three phases of the define, measure, analyze, improve, and control (DMAIC) framework and will enable you to analyze the root causes of existing issues, implement solutions, and ensure the process's sustainability. You will gain insight into data analysis techniques such as hypothesis testing and regression analysis and be able to develop control plans for process improvement.
By the end of the course, you will be able to:
- Describe the importance of analyzing data and identifying root causes of problems in the process.
- Apply data analysis techniques such as hypothesis testing, regression analysis, and correlation analysis to identify the issues in your process.
- Develop control plans and strategies for sustaining process improvements.
- Use control charts and statistical process control techniques to monitor process performance.
The course offers practical exposure with a peer-graded project that enables you to apply your knowledge in real-world scenarios. The course is for individuals who wish to analyze and solve quality problems and are working in process improvement teams or involved with Six Sigma, lean, or other quality improvement projects.
In this module, you will learn why exploratory data analysis (EDA) is a critical component of data analysis in various domains, including statistics, data science, and machine learning. It involves examining and visualizing the characteristics of a dataset to gain insights, discover patterns, and i…
In this module, you will learn about hypothesis testing, which is an important component of statistical analysis and data-driven decision-making. You will also learn how to apply hypothesis-testing techniques to infer population parameters based on sample data. Additionally, you will formulate hypo…
In this module, you will learn about the design of experiments (DOE), which plays a crucial role in the improve phase of the Six Sigma methodology. It provides a structured approach for data-driven decision-making and process optimization and enables you to examine the parameter space efficiently t…
In this module, you will learn about strategies and practices to ensure that the improvements implemented in a process are sustained over the long term. You will learn how to establish a culture of continuous improvement, maintain process stability, monitor performance, and engage stakeholders in s…
This is a peer-review assignment based on the concepts taught in The DMAIC Framework: Analyze, Improve, and Control Phase course. In this assignment, you will be able to explain how to apply the analyze, improve, and control phases of the DMAIC framework in a real-life scenario.
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Simplilearn is in Tier 4: commercial training companies and platform-made courses of our institution ranking (58/100).
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