Project Sales: Excel Forecasting Functions

Overview

Ready to move beyond basic data entry and unlock the predictive power of Excel? This intermediate course, Project Sales: Excel Forecasting Functions, is designed for aspiring financial analysts, business planners, and data-driven professionals who want to build robust financial forecasts. You’ll learn to transform historical sales data into meaningful insights by calculating key performance metrics like Compound Annual Growth Rate (CAGR) and moving averages to understand underlying trends. The course dives deep into scenario-based forecasting, a critical skill for strategic planning. You will master the application of Excel’s AVERAGE function for stable, "flat" projections and the GROWTH function for dynamic, "trend-based" scenarios. Through expert-led screencasts, hands-on exercises, and real-world case studies, you will build a complete sales forecast from start to finish. To succeed in this course, you should have a basic familiarity with Excel functions and an understanding of concepts like revenue and sales data. You will leave with the ability to not just calculate the future, but to model multiple futures, communicate your findings, and drive data-informed decisions with confidence.

Syllabus

Analyzing Historical Performance

In this module, you will lay the essential groundwork for any credible forecast by learning to analyze and interpret historical data. You will move beyond surface-level numbers to find the real story they tell by calculating key performance metrics like Compound Annual Growth Rate (CAGR) and moving averages in Excel. This will enable you to smooth out volatility and identify stable, underlying trends in your sales data.

Building and Defending Your Forecast

In this module, you will translate your analytical insights into actionable, scenario-based financial forecasts. You will master Excel’s AVERAGE and GROWTH functions to model both "flat" and "trend" growth scenarios. The module culminates in a final project where you will build a complete forecast from scratch and justify your modeling choices, proving your ability to not only create projections but also to communicate them effectively to stakeholders.