Digital Marketing Analytics in Theory

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. This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.

• 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.