Advanced Certificate Lean Six Sigma: Data Analysis
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⢠Statistical Process Control (SPC) & Hypothesis Testing: Learn to analyze data using various control charts and apply different hypothesis testing techniques to make data-driven decisions.
⢠Design of Experiments (DOE): Understand the principles of DOE and how to use it to optimize processes and improve product quality by identifying the key factors that impact performance.
⢠Measurement System Analysis (MSA): Learn to evaluate the accuracy and precision of measurement systems and how to improve them to reduce variation and increase process capability.
⢠Multivariate Analysis: Understand the principles of multivariate analysis and how to use it to analyze complex data sets and identify key relationships between variables.
⢠Regression Analysis: Learn to use regression analysis to model linear and nonlinear relationships between variables and make predictions based on the models.
⢠Data Visualization & Exploratory Data Analysis: Understand the principles of data visualization and learn to use various tools and techniques to explore data and communicate insights effectively.
⢠Advanced Lean Six Sigma Tools: Learn to use advanced Lean Six Sigma tools such as failure mode and effects analysis (FMEA), value stream mapping, and root cause analysis to identify and eliminate process waste and variation.
Note: The above units are not listed in any particular order and may vary depending on the curriculum and certification requirements of the specific Lean Six Sigma program.
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