Businesses today have access to an increasingly large amount of detailed customer data, and this influx of “big data” is only going to continue. Combined with a detailed history of marketing actions, there is a newfound potential for deriving actionable insights, but you need the tools to do so. Using real-world applications from various industries, this course will help you understand the tools and strategies used to make data-driven decisions that you can put to use in your own company or business.

Digital Marketing Analytics
本课程是 Foundations of Digital Marketing 专项课程 的一部分

位教师:Michael Trusov
访问权限由 New York State Department of Labor 提供
您将学到什么
SEO and SEM - KPIs and keyword strategies
Web Analytics - A/B Testing
Machine Learning/AI applications/Big Data
Text and Image Analysis
您将获得的技能
- Artificial Intelligence and Machine Learning (AI/ML)
- Marketing Analytics
- Consumer Behaviour
- Digital Marketing
- Data Analysis
- Contextual Advertising
- Key Performance Indicators (KPIs)
- A/B Testing
- Predictive Analytics
- Analytics
- Search Engine Optimization
- Web Analytics
- Data-Driven Decision-Making
- Pay Per Click Advertising
- Machine Learning
- Customer Data Management
- Big Data
- 技能部分已折叠。显示 7 项技能,共 17 项。
要了解的详细信息

添加到您的领英档案
12 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3个模块
In the first module, we will introduce you to the course and the objectives. You'll have the opportunity to meet your instructor, connect with your peers, and get familiar with the Coursera platform and support resources. We'll also explore the strategies for optimizing search engine visibility, analyzing the performance of paid search campaigns, and leveraging web analytics to track and improve digital marketing effectiveness.
涵盖的内容
8个视频14篇阅读材料6个作业2个讨论话题
In this module, we will start with an exploration into Online Testing. Many managerial decisions are made based on professional knowledge and intuition, but often this knowledge is not sufficient enough to make the optimal decision. That's where testing comes in. Next, we will talk about Recommendation Systems. You may not realize it, but your internet experience is defined by recommendation systems. From music, games, videos, films, and what to buy, recommendation systems predict your preferences to suggest products or services that are likely to be of interest to you.
涵盖的内容
5个视频8篇阅读材料5个作业2个讨论话题1个插件
Congratulations! You've made it to the end of the course. As a final assessment, it's time to apply your learning.
涵盖的内容
1个作业
获得职业证书
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