Applied Predictive Analytics with Excel and Minitab

In today's data-driven world, the ability to forecast trends and validate assumptions is a critical professional superpower. This course guides you through the foundational concepts of predictive analytics, transforming raw numbers into actionable strategic insights. You will progress from understanding basic statistical terms to executing and interpreting sophisticated predictive models. Through clear text-based explanations and step-by-step walkthroughs, you will learn how to leverage Excel and Minitab to solve real-world analytical problems. What you'll learn: - Understand foundational statistical concepts, including descriptive statistics, probability distributions, and data variance. - Perform hypothesis testing using t-tests, ANOVA, and chi-square analysis to validate data assumptions. - Build and interpret linear and multiple regression models to predict future outcomes and trends. - Analyze correlations and patterns in datasets using control charts and diagnostic tools. - Apply modern data preparation best practices to clean and organize your datasets before analysis. - Interpret software outputs from Excel and Minitab to make confident, data-backed business decisions. The course begins with essential statistical definitions and data preparation fundamentals before guiding you through practical scenario analyses. You will read detailed walkthroughs of regression setups, hypothesis tests, and control charts, learning exactly how to read, explain, and apply the results. This course is designed for beginners, aspiring data analysts, and business professionals looking to build solid predictive modeling skills. No prior advanced statistical training or programming experience is required. Start reading today to unlock the predictive power hidden within your data.