Predictive Modeling and Forecasting with Excel

In a data-driven world, the ability to anticipate future trends is a vital skill for any professional. This course provides a solid foundation in predictive modeling, teaching you how to transform historical data into actionable insights using familiar spreadsheet environments. You will move from understanding basic statistical concepts to implementing practical models that solve real-world problems. By learning how to interpret data patterns and validate your results, you will gain the confidence to provide evidence-based recommendations. What you'll learn: - Understand the core principles and terminology of the predictive modeling lifecycle - Master linear regression techniques to identify and quantify relationships between variables - Apply time series forecasting to predict future values based on historical trends - Practice data cleaning and preparation techniques essential for model accuracy - Evaluate model performance using modern metrics to ensure reliability - Implement efficient data handling patterns using modern spreadsheet functions The course begins with essential definitions and the conceptual framework of analytics before moving into detailed written explanations of regression and forecasting workflows. You will learn through clear text-based instructions and logic-focused exercises. This course is designed for beginners and aspiring analysts who want to develop predictive skills without a background in complex programming. No prior experience with modeling is required. Start building your predictive analytics toolkit today.