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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-hacks-google-casual-impact/
课程评论：没有评论
**课程名称：** 数据科学技巧 - Google Causal Impact **课程概述：** 本课程将教您如何在你工作或个人项目中使用Google开发的Causal Impact包。Causal Impact模型构建一个贝叶斯结构时间序列模型，用于预测在没有干预的情况下特定时间段内可能发生的结果。通过将模型的预测值（蓝色部分）作为对照，可以评估干预效果。 **课程将帮助您掌握以下能力：** * **衡量营销活动带来的额外销量/应用下载量/点击量/网站访问量（具有统计学意义）。** * **计算营销活动的投资回报率（ROI）。** * **评估促销活动对需求的影响。** * **量化已知事件对系列数据中任何行为变化的效应。**
Welcome to our Google Causal Impact Course.This course I'll teach you how to use the google's package Causal Impact in your on job or personal projects.The Causal Impact model developed by Google works by fitting a bayesian structural time series model to observed data which is later used for predicting what the results would be had no intervention happened in a given time period. The idea is to used the predictions of the fitted model (depicted in blue) as a reference to what probably would had been observed with no intervention taking place.After this course you will have a powerful tool, to measure (with statistical significance):* The extra number of sales / app downloads / clicks / web site visits caused by a marketing campaign* The ROI of a Marketing Campaign* The effect of a promotion over demand* Any change of behavior in a series, caused by a known event
