By the end of this course, learners will be able to apply advanced regression techniques, interpret outputs, diagnose model issues, and implement logistic regression for real-world business applications. They will also master statistical tools in Excel and Minitab, enabling them to perform t-tests, ANOVA, correlation, and predictive modeling with confidence.

This course equips learners with both theoretical understanding and hands-on practice in predictive analytics. Through practical datasets, scatterplots, and business-focused case studies, learners will gain the ability to transform raw data into actionable insights. They will develop critical skills in identifying predictor significance, handling multicollinearity, and generating accurate regression equations. What makes this course unique is its balance of applied examples, rigorous diagnostics, and practical tool demonstrations. From consumer purchase analysis to business decision-making scenarios, learners will see how regression techniques directly support strategic outcomes. By completing this course, learners will be prepared to evaluate data-driven models, interpret complex statistical outputs, and apply regression analysis to solve real-world challenges.