Successfully marketing brands today requires a well-balanced blend of art and science. This course introduces students to the science of web analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide the foundation needed to apply data analytics to real-world challenges marketers confront daily. Digital Analytics for Marketing Professionals: Marketing Analytics in Theory is the first in a two-part series of complementary courses and focuses on the background information and frameworks analysts need to be successful in today's digital business world.
数字化营销 专项课程伊利诺伊大学香槟分校课程信息
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第 3 门课程（共 7 门）
初级
完成时间大约为21 小时
英语（English）
对员工进行热门技能培训能否为您的公司带来益处？
体验 Coursera 企业版您将学到的内容有
Gain an understanding of the motivations behind data collection and analysis methods used by marketing professionals
Understand frameworks and approaches to measuring consumers’ digital actions
Learn to evaluate and choose appropriate web analytics tools and techniques
Earn familiarity with the unique measurement opportunities and challenges presented by New Media
您将获得的技能
- Digital Marketing
- Data Collection
- Analytics
- Data Analysis
- Data Visualization (DataViz)
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 3 门课程（共 7 门）
初级
完成时间大约为21 小时
英语（English）
对员工进行热门技能培训能否为您的公司带来益处？
体验 Coursera 企业版
提供方
立即开始攻读硕士学位
此 课程 隶属于 伊利诺伊大学香槟分校 提供的 100% 在线 Master of Business Administration (iMBA)。
如果您被录取参加全部课程，您的课程将计入您的学位学习进程。
授课大纲 - 您将从这门课程中学到什么
完成时间为 6 小时
Course Overview and The Day The Geeks Took Over
完成时间为 6 小时
8 个视频 （总计 51 分钟）, 8 个阅读材料, 7 个测验
完成时间为 5 小时
The Consumer Brand Relationship
完成时间为 5 小时
6 个视频 （总计 42 分钟）, 2 个阅读材料, 7 个测验
完成时间为 5 小时
The Science of Analytics (Part 1)
完成时间为 5 小时
6 个视频 （总计 39 分钟）, 2 个阅读材料, 7 个测验
完成时间为 5 小时
The Science of Analytics (Part 2)
完成时间为 5 小时
6 个视频 （总计 45 分钟）, 4 个阅读材料, 6 个测验
审阅
- 5 stars66.86%
- 4 stars24.31%
- 3 stars6.40%
- 2 stars1.45%
- 1 star0.96%
来自DIGITAL MARKETING ANALYTICS IN THEORY的热门评论
由 AB 提供Oct 27, 2019
excellent course with amazing presentations/webinars... the instructor is phenomenal. The only thing is that the material is dated and should be updated with more relevant reading materials.
由 EB 提供Feb 19, 2016
I really think this is the best Introduction for any beginner who needs to start learning about Digital Analytics. Thank you Prof Kevin for all the information and resources you provided us !
由 BM 提供Oct 9, 2019
Very interesting. Kevin explains things really well and introduces complex concepts clearly. I learned a lot from the peer review process -- seeing how other students respond to the exercises.
由 NN 提供May 9, 2016
The pace was not the same throughout the course. It was either very condensed with a lot of theory or repetitive. It would be better if example were used and the assignments w based on specific cases
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