Sales and Demand Forecasting in Excel

This course contains the use of artificial intelligence. Accurate sales forecasting is critical for revenue planning, budgeting, inventory control, and strategic decision-making. This practical, hands-on course teaches you step-by-step how to build reliable, data-driven sales and demand forecasting models using Microsoft Excel—without needing complex statistical software or advanced programming skills.

Whether you are a sales analyst, business professional, financial modeller, or supply chain planner, this course bridges the gap between theoretical forecasting techniques and real-world business application. What You Will LearnForecasting Foundations: Understand qualitative vs. quantitative forecasting approaches and when to apply each method.

Time Series Analysis: Deconstruct historical sales data into core components: Trend, Seasonality, and Random Variation. Baseline Forecasting Models: Implement Simple Naive, Seasonal Naive, and Moving Average techniques in Excel. Smoothing Models: Apply Exponential Smoothing and Holt-Winters Triple Exponential Smoothing to capture complex trend and seasonal patterns.

Seasonality Indices: Calculate and apply seasonality indices to normalize raw sales data and project accurate future demand. Regression Modeling: Master Causal Regression, Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, and Logistic Regression directly in Excel. Why Take This Course?

100% Practical & Excel-Focused: Step-by-step demonstrations showing exact formulas, functions, and Excel Data Analysis Toolpak workflows. Comprehensive Model Coverage: Covers basic baseline methods through advanced predictive analytics models. Decision-Ready Output: Turn historical sales figures into actionable insights that drive business performance.

Transform raw historical sales numbers into clear, predictable future projections. Enroll today to master Sales and Demand Forecasting in Excel!