Udemy – Certificate Course in Sales and Demand Forecasting – Excel

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 Learn:

• Forecasting 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.