This course introduces marketing data analytics, focusing on the crucial concepts of correlation and causality. Learners will explore statistical concepts and tools to analyze and interpret marketing data, leading to more informed and impactful marketing strategies. The course begins with core statistical concepts, such as standard deviation, variance, and normal distributions, in the context of marketing decisions. It shows how to visualize correlations and causal networks using techniques such as Structural Equation Modeling (SEM) and Path Analysis. The course discussions of analytics ethics, guiding participants to identify and avoid common pitfalls in data interpretation. This course is an invaluable resource for anyone looking to enhance their marketing strategies through trustworthy data-driven insights.
Customer Data Analytics for Marketers
Customer Data Analytics for Marketers
本课程是 Data Science for Marketing 专项课程 的一部分
位教师：Tony Cox, Jr.
2,141 人已注册
包含在 中
您将学到什么
Key statistical concepts and simple linear regression to improve data-driven marketing decisions.
您将获得的技能
- Statistical Hypothesis Testing
- Customer Insights
- Exploratory Data Analysis
- Customer Analysis
- Probability & Statistics
- Marketing Strategies
- Statistical Analysis
- Correlation Analysis
- Statistical Modeling
- Regression Analysis
- Analytics
- Data Analysis
- Data-Driven Decision-Making
- Descriptive Statistics
- Statistical Visualization
- Statistical Methods
- Marketing Analytics
- Data Ethics
- Marketing Effectiveness
要了解的详细信息
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作业
33 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Data Science for Marketing 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
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该课程共有4个模块
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位教师
从 Data Analysis 浏览更多内容
University of Illinois Urbana-Champaign
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MA
已于 Jul 21, 2024审阅
One of the best courses I have ever taken on Coursera. Looking forward to gaining even more knowledge by completing the other courses in the specialization.
