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Project Sales: Excel Forecasting Functions

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Project Sales: Excel Forecasting Functions

This course is part of multiple programs.

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Analyze historical sales data and create financial forecasts for different growth scenarios using key Excel functions.

Details to know

Shareable certificate

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Recently updated!

February 2026

Assessments

5 assignmentsΒΉ

AI Graded see disclaimer
Taught in English

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  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 2 modules in this course

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.

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.

What's included

2 videos2 readings2 assignments

2 videosβ€’Total 14 minutes
  • Why Historical Analysis Mattersβ€’7 minutes
  • Calculating Historical Trends in Excelβ€’7 minutes
2 readingsβ€’Total 14 minutes
  • The Analyst's Toolkit: Understanding and Calculating Performance Metricsβ€’8 minutes
  • Step-by-Step Guide: CAGR and Moving Average in Excelβ€’6 minutes
2 assignmentsβ€’Total 20 minutes
  • Hands-On Learning: Analyzing Sales Dataβ€’15 minutes
  • Knowledge Check: Historical Metricsβ€’5 minutes

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.

What's included

2 videos1 reading3 assignments

2 videosβ€’Total 10 minutes
  • Why One Forecast Is Never Enough: The SaaS Growth Storyβ€’5 minutes
  • Building Forecasts: The AVERAGE and GROWTH Functionsβ€’5 minutes
1 readingβ€’Total 7 minutes
  • Choosing Your Model: Flat vs. Trend Scenariosβ€’7 minutes
3 assignmentsβ€’Total 50 minutes
  • Hands-On Learning: Building a Sales Forecast Modelβ€’15 minutes
  • Knowledge Check: Forecasting Functionsβ€’5 minutes
  • Final Project: Sales Forecast and Recommendationβ€’30 minutes

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ΒΉ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.