Time-Series Forecasting with Amazon Forecast

Businesses rely on accurate predictions to optimize inventory, schedule staff, and set prices, but traditional forecasting methods often fall short of modern demands. This text-only course guides you through the foundations of time-series forecasting, showing you how to leverage machine learning technology to predict future trends with high precision. You will learn to prepare your data, select the right algorithms, and interpret results effectively. What you'll learn: - Understand core time-series forecasting concepts, terminology, and data structures - Prepare and clean historical data for optimal machine learning training - Configure datasets, target variables, and metadata within Amazon Forecast - Train forecasting models using built-in predictors and algorithms - Evaluate model performance using key metrics like Weighted Quantile Loss - Export and integrate forecast results into real-world business workflows Starting with fundamental definitions and basic data requirements, the course guides you step-by-step through the entire forecasting lifecycle, from initial data ingestion to final prediction analysis. Designed for beginners, business analysts, and cloud enthusiasts, this course requires no prior programming or machine learning background. Start reading today to unlock the power of predictive analytics for your organization.