Sales and Demand Forecasting in Excel

Learn multiple sales and demand forecasting techniques and build forecasts in Excel - Time Series, Regression, Seasonal

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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 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.

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!

Learning Objectives

🔹Build quantitative sales and demand forecasting models using Microsoft Excel.
🔹Master time series techniques including Naive, Moving Average, and Exponential Smoothing.
🔹Apply Holt-Winters triple exponential smoothing for complex seasonal sales trends.
🔹Calculate and apply seasonality indices to normalize demand and project future revenue.
🔹Implement simple, multiple, polynomial, and logistic regression models in Excel.
🔹Evaluate historical sales data to identify trend lines, seasonal patterns, and noise.
🔹Implement simple, multiple, polynomial, and logistic regression models in Excel.

Prerequisites

🔹No prior Microsoft Excel experience

Who This Course Is For

🔹Sales professionals, revenue leads, and commercial teams seeking data-driven forecasts.
🔹Supply chain planners, inventory leads, and logistics managers forecasting product demand.
🔹Business analysts, data analysts, and finance professionals modeling future trends.
🔹Entrepreneurs, business owners, and managers looking to predict revenue and growth.
🔹Students and professionals who want to learn practical Excel forecasting without coding.