Sales Forecasting with Power BI: A Practical Guide

Predicting future revenue is essential for any growing business, yet many analysts struggle to move beyond historical data. This text-based course guides you through the core concepts of sales forecasting using the built-in analytical power of Power BI. You will progress from understanding foundational forecasting terminology to preparing your historical sales data, configuring predictive models, and reading forecast charts. By the end of this course, you will be able to confidently build data models that help stakeholders anticipate demand and plan resources effectively. What you'll learn: 1. Learn foundational forecasting terminology, time-series concepts, and data requirements. 2. Prepare historical sales data using Power Query for optimal forecasting performance. 3. Configure the built-in analytics pane and forecasting tools in Power BI without writing complex code. 4. Apply basic DAX measures to calculate year-over-year growth and moving averages. 5. Understand confidence intervals, seasonality, and anomaly detection to refine your projections. 6. Design interactive dashboards that clearly communicate future trends to business decision-makers. The course begins with essential concepts of data preparation and time-series logic before moving into step-by-step written explanations on configuring visual forecasts and writing supporting calculations. It is designed for beginner business analysts, marketers, and sales professionals who want to learn predictive modeling, with no prior data science or advanced programming experience required. Start reading today to transform your historical spreadsheets into actionable future insights.