Build practical data analysis skills with Minitab and learn to turn statistical results into actionable insights. You’ll begin with the foundations of predictive modeling and regression, exploring how variables relate and how statistical outputs support data-driven decisions. You’ll then use ANOVA to compare group differences, interpret variations across datasets, and examine NAV price data to identify volatility and risk patterns.

As you progress, you’ll apply descriptive statistics and hypothesis testing to real-world scenarios involving customer complaints, resting heart rates, and loan applicants. You’ll summarize datasets, evaluate distribution patterns, analyze socio-economic and savings patterns, and conduct paired and independent t-tests to determine statistical significance. Designed for analysts, researchers, and professionals seeking to strengthen their statistical skills, this course combines statistical theory with hands-on Minitab implementation. Its case-based approach emphasizes interpretation as well as analysis, helping you move beyond calculations to explain findings, recognize patterns, assess variability, and make informed decisions. Enroll to build confidence in applying predictive analysis, ANOVA, descriptive statistics, and t-tests to practical datasets.