Course Overview: In today’s data-driven world, the application of statistical methods plays a crucial role in decision-making. This course covers statistical techniques used in Six Sigma and data science, equipping learners with analytical tools to improve quality, reduce variability, and drive informed decisions.
What You’ll Learn:
Core statistical concepts in Six Sigma
– Data visualization and interpretation
– Probability distributions and hypothesis testing
– Regression analysis and predictive modeling
– Real-world applications in business and engineering
Who Should Enroll? This course is designed for professionals, students, and researchers in business, engineering, and data science who want to master statistical methods for quality control and decision-making.
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