Predictive Analytics in SAS: Model Building and Deployment

In today's data-driven world, the ability to forecast trends and predict outcomes is a highly sought-after skill. This text-based course introduces you to the essentials of predictive analytics using SAS, one of the most trusted platforms for enterprise data analysis. You will transition from understanding basic statistical concepts to confidently preparing data, building predictive models, and preparing them for deployment. Through clear written explanations and practical SAS code examples, you will gain a solid foundation in predictive modeling methodologies. What you'll learn: - Understand foundational predictive analytics terminology and core statistical concepts - Prepare and clean raw datasets for modeling using SAS data steps - Build predictive models including linear and logistic regression - Evaluate model performance using key metrics and validation techniques - Deploy trained models into production environments and monitor them for drift - Apply best practices for data preparation and model documentation The course begins with essential definitions and data preparation techniques before guiding you through model training, evaluation, and modern deployment practices. You will practice your skills through written scenarios and code-based exercises designed to reinforce your learning. This course is designed for aspiring data analysts, business intelligence professionals, and beginners with no prior experience in predictive modeling. Start your journey into predictive analytics and unlock the power of data-driven forecasting today.