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.

このコースについて
学習内容
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
習得するスキル
- Digital Marketing
- Data Collection
- Analytics
- Data Analysis
- Data Visualization (DataViz)
提供:

イリノイ大学アーバナ・シャンペーン校(University of Illinois at Urbana-Champaign)
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
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シラバス - 本コースの学習内容
Course Overview and The Day The Geeks Took Over
In the orientation, you will become familiar with the course, your instructor, your classmates, and the learning environment. The orientation also helps you obtain the technical skills required for the course. Module 1 looks at modern analysts and analytics in the context of its distinct historical epochs, each one containing major inflection points and laying a foundation for future advancements in the ART + SCIENCE that is modern data analytics.
The Consumer Brand Relationship
In Module 2, we explore each digital channel in-depth, including a discussion of key metrics and measurements, how consumers interact with brands on each platform, and ways of organizing consumer data that enable actionable insights.
The Science of Analytics (Part 1)
Module 3 focuses on understanding digital data creation, how brands use that data to measure digital marketing effectiveness, and the tools and skill sets analysts need to work effectively with data. While the contents are lightly technical, this section veers into the colloquial as I dive into multitouch attribution models, media mix models, incrementality studies, and other ways analysts conduct marketing measurement today.
The Science of Analytics (Part 2)
Module 4 provides a useful framework for evaluating data analysis and visualization (“dataviz”) tools and explains the critical importance of digital marketing maturity to analysts and the companies for which they work.
レビュー
- 5 stars66.88%
- 4 stars24.31%
- 3 stars6.42%
- 2 stars1.46%
- 1 star0.92%
DIGITAL MARKETING ANALYTICS IN THEORY からの人気レビュー
really liked the summerized pdf files with concepts and definitions well presented, also the resources og blogs and news made it easier to understand the concepts and the industry behind it
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.
I enjoyed learning about the theories behind digital marketing and what all goes into it. I liked how I could see the lessons learned in the class applying to my own life as a consumer.
Have an great overall understanding about Digital marketing, Marketing Geek and useful Digital Analytic tools. With this worth information, I can make my online business plan more effectively
デジタルマーケティング専門講座について
Master strategic marketing concepts and tools to address brand communication in a digital world.

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