Predictive Modeling with Einstein Studio and Salesforce Screen Flows

In today's data-driven sales environment, simply collecting lead information is no longer enough. To stay ahead, businesses must anticipate customer behavior and equip sales representatives with real-time, actionable recommendations. This text-only course guides you through the process of creating predictive models and displaying their outputs directly within your daily workflows. You will start with the absolute basics, learning the core terminology of predictive analytics and machine learning. From there, you will transition into hands-on configuration, discovering how to build, train, and refine models that forecast lead conversion. Finally, you will learn to integrate these predictive insights into user-friendly interfaces, ensuring your team can act on data-driven recommendations immediately. What you'll learn: 1. Understand foundational predictive modeling concepts and key machine learning terminology. 2. Configure and train custom predictive models using Einstein Studio. 3. Design interactive Screen Flows to display model outputs and recommendations. 4. Apply data hygiene best practices to prepare your sales data for accurate forecasting. 5. Build guided sales processes that surface real-time conversion insights to representatives. 6. Monitor and interpret model performance metrics to ensure ongoing accuracy. This course starts with foundational definitions and basic concepts before moving into step-by-step written tutorials and structural examples. You will follow a logical path from data preparation and model creation to flow integration and deployment. Designed specifically for beginners, this course requires no programming background or prior data science experience. If you are a sales administrator, business analyst, or aspiring operations professional looking to leverage predictive AI, this course is for you. Start reading today to transform your raw sales data into actionable, predictive insights.