Lean Six Sigma Data Analytics with Minitab

Every successful Lean Six Sigma project relies on accurate data analysis to identify waste, reduce variation, and optimize processes. But raw data is only valuable if you know how to interpret it and translate it into actionable business decisions. This text-based course guides you through the foundational concepts of Lean Six Sigma data analytics, teaching you how to confidently perform statistical analysis using Minitab. You will transition from understanding basic process metrics to performing data validation and statistical testing to support continuous improvement initiatives. What you'll learn: - Understand the core principles of Lean Six Sigma and how data analytics drives the DMAIC framework - Perform essential data validation and quality checks to ensure your dataset is clean and reliable - Analyze process capability and performance metrics using Minitab to pinpoint inefficiencies - Apply descriptive statistics and distribution analysis to visualize process variation - Conduct basic hypothesis testing to make data-driven decisions and validate process changes - Interpret statistical outputs accurately to communicate findings and recommend optimization strategies The course starts with essential terminology and foundational definitions of Lean Six Sigma metrics before moving into practical data analysis techniques. You will read through real-world scenarios, study step-by-step Minitab workflows, and complete written exercises to solidify your analytical skills. This course is designed entirely for beginners and requires no prior background in statistics, data science, or Minitab. Start reading today to unlock the power of data-driven process improvement.