Digital Marketing Analytics in Practice (Coursera)

Digital Marketing Analytics in Practice (Coursera)
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Digital Marketing Analytics in Practice (Coursera)
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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Digital Analytics for Marketing Professionals: Marketing Analytics in Practice is the second in a two-part series of complementary courses and focuses on the skills and practical abilities analysts need to be successful in today's digital business world.

Course 3 of 7 in the Digital Marketing Specialization.


What You Will Learn

- Gain hands-on, working knowledge of a step-by-step approach to planning, collecting, analyzing, and reporting data

- Learn to evaluate and choose appropriate web analytics tools and techniques

- Utilize tools to collect data using today’s most important online techniques: performing bulk downloads, tapping APIs, and scraping webpages

- Understand approaches to visualizing data effectively


Syllabus


WEEK 1

Course Overview and The Art of Analytics

In the orientation, you will become familiar with the course, your instructor, your classmates, and our learning environment. The orientation also helps you obtain the technical skills required for the course. Every analyst dreams of coming up with the “big idea” – the game-changing and previously unseen insight or approach that gives their organization a competitive advantage and their career a huge boost. But dreaming won’t get you there. It requires a thoughtful and disciplined approach to analysis projects. In this part of the course, I detail the four elements of the Marketing Analytics Process (MAP): plan, collect, analyze, report. Module 1 also explains the role of the analyst, the six mutually exclusive and collectively exhaustive (“MECE”) marketing objectives of analytics, how to find context and patterns in collected data, and how to avoid the pitfalls of bias.


WEEK 2

Storytelling with Data

In Module 2, we dive headlong into the most important aspect of digital marketing analytics: transforming the data the analyst compiled into a comprehensive, coherent, and meaningful report. I outline the key characteristics of good visuals and the minutiae of chart design and provide a five-step process for analysts to follow when they’re on their feet and presenting to an audience. The goal is to equip analysts with the tools they need to tell a compelling and memorable story that “cuts through the noise” of the overwhelming amount of information audiences experience every day.


WEEK 3

Bellabeat Case Study

Module 3 brings to life the concepts, theories, techniques, and tools discussed in the course in a business case written about Bellabeat, a high-tech design and manufacturing company that produced health-focused smart devices for women. Students will see each step in the MAP illustrated through the case.


WEEK 4

The Future of Analytics

Data’s road from crude maps to gigabytes of multidimensional information has been a long and winding one. But it is far from over. If anything, the industry finds itself at a critical crossroads that will determine its future for decades to come. Module 4 explores this predicament while casting an eye toward what comes next for digital marketing analytics.



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