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.
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이 강좌에 대하여
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기배울 내용
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
귀하가 습득할 기술
- Digital Marketing
- Data Collection
- Analytics
- Data Analysis
- Data Visualization (DataViz)
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기학위 취득의 첫걸음을 내디뎌 보세요.
강의 계획표 - 이 강좌에서 배울 내용
Course Overview and The Day The Geeks Took Over
The Consumer Brand Relationship
The Science of Analytics (Part 1)
The Science of Analytics (Part 2)
검토
- 5 stars66.87%
- 4 stars24.31%
- 3 stars6.40%
- 2 stars1.45%
- 1 star0.96%
DIGITAL MARKETING ANALYTICS IN THEORY의 최상위 리뷰
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.
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 !
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.
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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