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
本课程是 Data Science for Marketing 专项课程 的一部分

位教师:Tony Cox, Jr.
1,619 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 Visualization
- Marketing Strategies
- Data Ethics
- Correlation Analysis
- Statistical Methods
- Regression Analysis
- Data-Driven Decision-Making
- Statistical Analysis
- Data Analysis
- Customer Insights
- Exploratory Data Analysis
- Probability & Statistics
- Marketing Effectiveness
- Analytics
- Statistical Modeling
- Marketing Analytics
- Customer Analysis
- Descriptive Statistics
- Statistical Hypothesis Testing
要了解的详细信息

添加到您的领英档案
33 项作业
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
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有4个模块
Dive into the world of marketing data analytics and discover how it revolutionizes customer understanding and business growth. Learn to differentiate between analytics types and develop reports that transform data into actionable marketing strategies, increasing customer lifetime value and business success.
涵盖的内容
7个视频7篇阅读材料7个作业
Unlock the power of statistical concepts to drive smarter marketing decisions. This module empowers you with the skills to interpret data correctly, avoid common pitfalls, and apply critical thinking to uncover deeper insights from your marketing data.
涵盖的内容
7个视频6篇阅读材料7个作业
Master key statistical techniques to elevate your marketing strategies. Learn hypothesis testing, understand correlations, and delve into regression analysis, all while maintaining ethical standards in analytics for credible, impactful results.
涵盖的内容
8个视频9篇阅读材料9个作业
Explore the intricate relationship between correlation and causality in marketing. Gain skills in advanced correlation analysis and Structural Equation Modeling (SEM) to make informed, data-driven decisions that effectively navigate the complexities of the marketing world.
涵盖的内容
9个视频3篇阅读材料10个作业
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
位教师

从 Data Analysis 浏览更多内容
- 状态:免费试用
University of Illinois Urbana-Champaign
- 状态:免费试用
University of Pennsylvania
- 状态:免费试用
Macquarie University
- 状态:预览
University of Virginia
人们为什么选择 Coursera 来帮助自己实现职业发展




学生评论
10 条评论
- 5 stars
90%
- 4 stars
10%
- 3 stars
0%
- 2 stars
0%
- 1 star
0%
显示 3/10 个
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.
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
更多问题
提供助学金,