This Specialization provides a comprehensive, hands-on pathway to mastering applied statistics and hypothesis testing using Minitab for real-world decision-making. Learners progress from foundational statistical analysis and data visualization to applied regression modeling, hypothesis testing, process capability analysis, and quality-focused statistical methods, all reinforced through practical demonstrations and guided projects. Emphasizing business and engineering relevance, the Specialization equips learners to interpret statistical outputs, validate assumptions, justify analytical choices, and translate quantitative findings into actionable insights aligned with industry practices and data-driven workflows.
Applied Learning Project
Learners complete applied, project-based assignments that simulate authentic business and quality analytics scenarios, including regression modeling, hypothesis testing, and process performance evaluation using real datasets. These projects require learners to frame problems, analyze data in Minitab, interpret results, and present statistically justified recommendations for practical decision-making.
