Predictive Analytics and Statistical Modeling in Minitab

Turning raw data into accurate future predictions is a critical skill for modern analysts and business leaders. This course guides you through the fundamentals of predictive modeling, showing you how to leverage Minitab to uncover patterns and forecast trends with confidence. You will transition from basic data entry to constructing sophisticated models that reveal the story behind your numbers. By focusing on practical application, you will learn how to interpret statistical outputs to solve real-world problems and drive organizational strategy. What you'll learn: - Understand core statistical concepts and the foundations of predictive analytics - Build and interpret simple and multiple linear regression models for data forecasting - Apply logistic regression techniques to predict categorical outcomes and probabilities - Master model validation and feature selection to ensure the accuracy of your insights - Practice data preparation and cleaning to improve the quality of your predictive outputs - Analyze residuals and diagnostic plots to verify the reliability of your statistical models The course begins with essential terminology and basic statistical principles before moving into written walkthroughs of modeling techniques and practical data interpretation. You will progress through logical stages of analysis, from initial data exploration to final model deployment. This course is designed for beginners and aspiring data analysts who want to build a solid foundation in forecasting. No prior experience with Minitab or advanced statistics is required to get started. Start building your data-driven forecasting skills today.