Data Analytics with Minitab for Business Decisions

By the end of this course, learners will be able to apply statistical data analytics techniques using Minitab and Excel, interpret business data through descriptive and inferential methods, evaluate relationships using correlation and ANOVA, and support data-driven business decisions through real-world case studies. This course provides a practical, industry-focused introduction to data analytics using Minitab, designed for learners who want to move beyond theory and develop job-ready analytical skills. Learners will explore core statistical concepts such as descriptive statistics, hypothesis testing, correlation, ANOVA, and regression, and apply them to real datasets from companies such as Reliance, Infosys, Tech Mahindra, and Colgate Palmolive. The course also integrates Microsoft Excel regression tools, enabling learners to expand their analytical toolkit. What makes this course unique is its strong emphasis on applied learning through real corporate case studies and guided analysis using Minitab’s Assistant feature. Rather than focusing solely on formulas, the course emphasizes interpretation, validation, and business relevance—skills essential for analysts, managers, and professionals seeking to make confident, data-driven decisions

• Apply descriptive and inferential statistical techniques using Minitab and Excel
• Analyze relationships in business data using correlation, ANOVA, and regression methods
• Interpret real-world case study results to support data-driven business decisions

• No deep prior experience is required, but basic computer and internet skills are helpful
• Ability to read course instructions in English and complete short practice activities