Predict Web Traffic with Trend Forecasting in Google Sheets

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提供方
Coursera Project Network
在此免费的指导 项目中,您将:

Identify use cases for forecasting trends and understand how website traffic volume is predicted.

Visualize and statistically examine the website data by testing the slope of the regression line and creating a line chart in Google Sheets.

Conduct linear regression to predict website traffic volume and compare trend forecasting to other techniques in Google Sheets.

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

By the end of this project, you will understand the principles of time-series forecasting used to predict web traffic volume to provide practical business intelligence that can inform operations, resource allocation, and identify opportunities. You will also be able to conduct a web traffic forecast in Google Sheets. To do this, you will work in the free-to-use software Google Sheets while exploring trend forecasting and its applications. 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

Business Process ManagementPredict Web TrafficCustomer BehaviorsDemand ForecastingBusiness Intelligence

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. Review how forecasting supports decision-making and access Google Sheets.

  2. Identify problems that can be solved with statistical forecasting techniques and review how website traffic volume is predicted.

  3. Identify linear and exponential growth and import data into Google Sheets.

  4. Create a line chart and add a linear trend line in Google Sheets.

  5. Conduct linear regression with a linear model to predict web traffic volume in Google Sheets.

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

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