This Specialization provides a structured, hands-on pathway to mastering statistical data analysis using Minitab, progressing from foundational concepts to advanced regression and predictive modeling. Learners begin by understanding the Minitab interface and core statistical tools, then advance to applying descriptive, inferential, and predictive analytics to real-world business and quality scenarios. Across the courses, learners focus on interpretation, visualization, and decision-making rather than formula-heavy theory, ensuring skills are practical and job-ready. Real corporate-style datasets, guided workflows, and Minitab’s Assistant features help learners confidently translate statistical outputs into actionable insights for business, operations, quality management, and analytics roles.

Applied Learning Project

Learners complete applied projects that simulate real business and quality-improvement scenarios, including data preparation, exploratory analysis, hypothesis testing, and regression modeling using Minitab. These projects require learners to interpret outputs, validate assumptions, and present data-driven recommendations, closely mirroring the analytical tasks performed by professionals in industry and academia.