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. Students will learn to identify the web analytic tool right for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data from the web; and utilize data in decision making for agencies, organizations or clients.
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이 강좌에 대하여
학습자 경력 결과
32%
29%
10%
배울 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
학습자 경력 결과
32%
29%
10%
제공자:

일리노이대학교 어버너-섐페인캠퍼스
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.
석사 학위 취득 시작
강의 계획 - 이 강좌에서 배울 내용
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.
검토
DIGITAL MARKETING ANALYTICS IN THEORY의 최상위 리뷰
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
Excellent information and presented in an easy-to-understand format. My only reason for not giving this course five stars was how many examples and details were out of date and not current to today.
Well, this is great course since I did it online, but the material well covered and the lecturer give clear and interesting material through video. I will take another course after this. Thank you.
Base content is good Consider merging this course with the next one i.e Digital Analytics for Marketing Professionals: Marketing Analytics in Practice.Many of the readings and slides are common
디지털 마케팅 특화 과정 정보
Master strategic marketing concepts and tools to address brand communication in a digital world.

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