Conduct Sales Projections with Seasonality in Google Sheets

4.9
26 个评分
提供方
Coursera Project Network
2,559 人已注册
在此免费的指导 项目中,您将:

Identify use cases for applying seasonality to sales projections.

Visualize and conduct exploratory data analysis (EDA.)

Understand the process of applying seasonality, and how to run and evaluate a sales projection.

在面试中展现此实践经验

Clock2 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

Sales projections are a powerful tool to aid in meeting demand, allocation of resources, and driving growth for the future. Forecasting techniques can be applied to make realistic predictions of outcomes of everything from sales volume to likelihood of cold-call success given the time of the year. Other than goods that are considered, “basic necessities,” most sales data demonstrate trends based on the season—or period of time—in which they occur. There are a multitude of statistical methods that can enhance forecasting by including the factor of seasonality. This course will introduce you to making sales projections with a multiplicative seasonal model. In this course, we will review the principles of forecasting, consider use cases for forecasting with seasonality, build the seasonal index from the ground up, run a forecast with and without seasonality on sales data, and consider the next steps that could be taken with our seasonal forecast. Along the way, you will visualize the data and understand how forecasting with seasonality works. You will do this as we work side-by-side in the free-to-use software Google Sheets. By the end of this course, you will understand use cases for conducting forecasts with seasonality in your workplace and be able to confidently apply seasonality in any spreadsheet software. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

必备条件

Some familiarity with spreadsheet software is helpful.

您要培养的技能

Sales ProjectionsForecastingSeasonal IndexesFeature EngineeringPredictive Analytics

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Understand how making sales projections with forecasting supports decision-making and access Google Sheets.

  2. Identify use cases for applying seasonality to sales projections.

  3. Import data into Google Sheets.

  4. Create a chart to visualize the data and conduct exploratory data analysis.

  5. Add a linear regression line to charts and build a classical multiplicative model.

  6. De-seasonalize the data, run a sales projection, and evaluate your forecast.

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

常见问题

常见问题

还有其他问题吗?请访问 学生帮助中心