The Advanced Tools for Digital Marketing Analytics course explores cutting-edge tools and technologies that are transforming the landscape of digital marketing analytics such as marketing automation and scaling strategies, predictive analytics and algorithms, video and mobile marketing trends, as well as artificial intelligence (AI), natural language processing (NLP), and ethics. You’ll also walk through preparing a portfolio and supporting a career change to digital marketing analyst.

Advanced Tools for Digital Marketing Analytics
本课程是 Unilever Digital Marketing Analyst 专业证书 的一部分

位教师:Unilever Team
访问权限由 New York State Department of Labor 提供
5,344 人已注册
您将获得的技能
- Digital Marketing
- Machine Learning
- Natural Language Processing
- Business Ethics
- Automation
- Analytics
- Predictive Modeling
- MarTech
- Predictive Analytics
- Digital Advertising
- Video Production
- Customer Analysis
- Marketing Analytics
- Marketing Strategies
- Marketing Channel
- Marketing
- Marketing Automation
- Advanced Analytics
- Data Analysis
- Data Ethics
- 技能部分已折叠。显示 11 项技能,共 20 项。
要了解的详细信息

添加到您的领英档案
27 项作业
了解顶级公司的员工如何掌握热门技能

积累 Marketing 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
- 通过 Unilever 获得可共享的职业证书

该课程共有4个模块
In this module, you will enter the exciting world of marketing automation and explore its role in streamlining marketing processes.
涵盖的内容
9个视频7篇阅读材料7个作业
In this module, you will explore predictive analytics and its applications in the realm of digital marketing.
涵盖的内容
6个视频6篇阅读材料5个作业1个讨论话题
In this module, you will explore the exciting world of video marketing and mobile marketing and their significant impact on the digital marketing landscape.
涵盖的内容
8个视频5篇阅读材料7个作业
In this module, you will explore the powerful intersection of AI, machine learning, and digital marketing. You'll also examine the ethical considerations that arise with the implementation of AI and envisioning the potential impacts of future advancements. You will also focus on career and job search tasks to help prepare you for a marketing analyst role.
涵盖的内容
13个视频10篇阅读材料8个作业
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