有关消费者选择的数据充斥着大大小小的企业。但这些丰富的信息并不总能转化为更好的决策。如何解读数据是一项挑战,尤其是营销人员,他们越来越需要利用分析来为自己的决策提供信息和依据。

您将学到什么
如何建立和定义品牌架构,以及如何衡量营销工作对品牌价值的长期影响
如何衡量客户终身价值,并利用该信息评估战略营销备选方案
如何设计基本实验,以便评估营销工作,最有效地投入营销资金
如何设置回归、解释输出结果、探索混杂效应和偏差,以及区分经济意义和统计意义
您将获得的技能
- Marketing Effectiveness
- Customer Analysis
- Marketing Budgets
- Marketing Strategies
- Data-Driven Decision-Making
- Predictive Analytics
- Regression Analysis
- Strategic Marketing
- Brand Management
- A/B Testing
- Return On Investment
- Consumer Behaviour
- Statistical Analysis
- Customer Insights
- Resource Allocation
- Marketing Analytics
要了解的详细信息
了解顶级公司的员工如何掌握热门技能

该课程共有5个模块
位教师

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University of Illinois Urbana-Champaign

University of Colorado System
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学生评论
- 5 stars
75.18%
- 4 stars
19.23%
- 3 stars
2.86%
- 2 stars
0.88%
- 1 star
1.83%
显示 3/6446 个
已于 Aug 11, 2019审阅
I have reached week 4 of this class, and so far, this class has helped me a lot. It's not an intensive class, but for a beginner like me, this provides me with an overall grasp of the field.
已于 Mar 24, 2018审阅
I have learnt a lot. Thanks a Lot to Mr.Rajkumar Venkatesan. Very clear explanation on each and every concept. I have learnt how to apply in real time with the real time data. Great Learning.
已于 Jul 12, 2022审阅
It was comprehensive . but the explanaition for control group and test group as well as causality was very unclear to understand especially for me and u didnt explain some terms like these !thank you
¹ 本课程的部分作业采用 AI 评分。对于这些作业,将根据 Coursera 隐私声明使用您的数据。






