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 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.
Digital Marketing Analytics in Practice
This course is part of Digital Marketing Specialization
Instructor: Kevin Hartman
Sponsored by Barbados NTI
127,371 already enrolled
(3,300 reviews)
What you'll 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
Skills you'll gain
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There are 4 modules in this course
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.
What's included
9 videos8 readings7 quizzes1 peer review
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.
What's included
6 videos2 readings6 quizzes1 peer review
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.
What's included
5 videos2 readings5 quizzes1 peer review
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.
What's included
5 videos4 readings5 quizzes1 peer review1 plugin
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Reviewed on May 2, 2020
The Course gave me useful insights into data analysis, but there was missing information in the lectures about the 5 main data analyzing techniques. Overall I had great experience
Reviewed on Jun 8, 2020
It teaches you a lot of things that are required for an analyst. Considering today's innovative market, this course helps you to understand how you analyze the market or company or any data.
Reviewed on Feb 29, 2016
I really enjoyed this course. I liked the professor's teaching style as well as the materials the course provided. All the knowledge I've got from the course helps me when I do research online.
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