Basic knowledge of Microsoft Excel
Familiarity with marketing concepts (helpful but not mandatory)
Excel 2016 or later version (for advanced features like Data Analysis Toolpak)
A curiosity to explore data and uncover trends
In today’s competitive digital landscape, forecasting plays a critical role in marketing decisions — from predicting sales to optimizing ad spend and understanding customer behavior. This course, Marketing Analytics: Forecasting Models with Excel, is designed to equip beginners and professionals with the essential skills needed to build and analyze forecasting models using Excel — no programming required.
Whether you're a marketing analyst, startup founder, freelancer, or business student, this course will guide you step-by-step through real-world forecasting techniques such as trend analysis, moving averages, exponential smoothing, and regression-based forecasting — all using Microsoft Excel.
You’ll work with practical examples like:
Forecasting monthly product sales
Predicting seasonal trends in digital ad performance
Estimating future revenue based on past performance
With this course, you'll transform raw data into actionable marketing insights that can drive growth, reduce risk, and improve ROI. Get hands-on, build confidence, and become a forecasting ninja in Excel!
Understand the fundamentals of marketing analytics and forecasting
Use Excel to build various types of forecasting models
Apply Moving Averages and Exponential Smoothing techniques
Create and interpret Linear Regression models for marketing data
Work with seasonal and trend data to make data-driven decisions
Visualize forecasting results effectively using Excel charts
Evaluate and compare the accuracy of different models
Make real-world business predictions confidently using Excel
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Marketing Analytics: Forecasting Models with Excel
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