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There are 4 modules in this course
Successfully marketing brands today requires a well-balanced blend of art, science, and technology. This course introduces students to the systems and infrastructures that underpin modern digital marketing, from recommendation engines and visual analytics to blockchain-enabled transparency and advanced data measurement frameworks. The goal is to equip learners with the tools and reasoning needed to design, evaluate, and govern marketing technologies that drive personalization, trust, and performance at scale. Digital Marketing/Platforms, Data, and Technologies is the second in a two-part series of complementary courses. It focuses on how marketers use data architectures, algorithms, and integrity systems to understand consumers, predict behavior, and ensure fairness and accountability in a rapidly evolving digital ecosystem. Together, these insights form the technological backbone of modern marketing strategy.
This course is part of Gies College of Business’ suite of online programs, including 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/.
In the orientation, you will become familiar with the course, your instructor, your classmates, and our learning environment. It also covers module 1, which is about how recommendation systems influence what users see and choose.
Introduction to Digital Marketing: Platforms, Data, and Technologies•9 minutes
Meet Your Instructor Nathan Yang•3 minutes
The Impact of the Gies Community•2 minutes
Foundations for Recommendation Systems in Marketing•8 minutes
Designing for User Trust and Engagement•8 minutes
Diversity, Novelty, and Serendipity in Recommendations•8 minutes
Multi-Objective Recommendation Systems•7 minutes
Context-Aware Recommendations•7 minutes
Evaluating Recommendation Systems•9 minutes
Instacart Case Study•9 minutes
9 readings•Total 90 minutes
Syllabus•10 minutes
Coursera Coach•10 minutes
Glossary•10 minutes
Brand Descriptions•10 minutes
About the Discussion Forums•10 minutes
Online Education at Gies College of Business•10 minutes
Updating Your Profile•10 minutes
Module 1 Overview•10 minutes
Module 1 Readings•10 minutes
2 assignments•Total 60 minutes
Orientation Quiz•30 minutes
Quiz: Recommendation System Design•30 minutes
1 discussion prompt•Total 10 minutes
Getting to Know Your Classmates•10 minutes
1 plugin•Total 15 minutes
Welcome! Please Tell Us About Yourself•15 minutes
Visual Listening
2 hours to complete
Module details
This module introduces visual listening as an AI-driven approach to analyzing images, videos, and multimodal content in a visual-first digital landscape. It shows how marketers use visual intelligence to detect cultural trends, inform creative strategy, coordinate across channels, and responsibly integrate AI into brand decision-making.
What's included
7 videos2 readings1 assignment
Show info about module content
7 videos•Total 85 minutes
Introduction to Visual Listening•10 minutes
Advanced Techniques in Visual Listening•11 minutes
Embedding Visual Listening and Generative AI Into Marketing Workflow•10 minutes
Predictive Visual Trend Modeling•12 minutes
Visual Listening to Connect Offline and Online Channels•8 minutes
Visual Listening to Improve Offline Channel Efficiency•9 minutes
Guest Speaker: Minha Hwang•25 minutes
2 readings•Total 20 minutes
Module 2 Overview•10 minutes
Module 2 Readings•10 minutes
1 assignment•Total 30 minutes
Quiz: Visual Listening•30 minutes
Blockchain For Digital Marketing
2 hours to complete
Module details
This module explores blockchain as an infrastructure for trust in modern marketing. It covers the foundations of decentralized ledgers, smart contracts, and digital assets, showing how blockchain enables transparency, authenticity, and accountability across supply chains, loyalty systems, digital advertising, and brand–consumer relationships.
What's included
7 videos2 readings1 assignment
Show info about module content
7 videos•Total 63 minutes
Blockchain Foundations for Marketing Applications•10 minutes
Trusted Trade With Blockchain•10 minutes
Blockchain Implementation for Trusted Trade•7 minutes
Building Smart Contracts for Trusted Trade•9 minutes
Digital Twins and NFTs•10 minutes
Blockchain for Digital Advertising•11 minutes
Carrefour Case Study•6 minutes
2 readings•Total 20 minutes
Module 3 Overview•10 minutes
Module 3 Readings•10 minutes
1 assignment•Total 30 minutes
Quiz: Blockchain For Digital Marketing•30 minutes
Measurement Challenges
3 hours to complete
Module details
This module explores the growing difficulty of reliable measurement in digital marketing amid privacy restrictions and fragmented data. It examines data gaps, data poisoning, and data overload, emphasizing the need for resilient measurement systems that maintain credibility despite incomplete, manipulated, or overwhelming data
Introduction to Measurement Challenges in Digital Marketing•9 minutes
Understanding Data Gaps•9 minutes
Backdoor Attacks on Measurement Systems•7 minutes
Triggerless and Clean-Label Poisoning in Measurement Systems•6 minutes
Data Poisoning in Multisource Marketing Systems•9 minutes
Data Volume: From Overwhelm to Insight•9 minutes
Course Conclusion•9 minutes
Learn on Your Terms•1 minute
4 readings•Total 40 minutes
Module 4 Overview•10 minutes
Module 4 Readings•10 minutes
Congratulations on completing the course!•10 minutes
Get Your Course Certificate•10 minutes
1 assignment•Total 30 minutes
Quiz: Measurement Challenges•30 minutes
1 peer review•Total 60 minutes
Assignment: Measurement Challenges•60 minutes
1 plugin•Total 15 minutes
How was the course?•15 minutes
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Build toward a degree
This course is part of the following degree program(s) offered by University of Illinois Urbana-Champaign. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
View eligible degrees
Build toward a degree
This course is part of the following degree program(s) offered by University of Illinois Urbana-Champaign. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have.
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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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Learner reviews
4.5
3,361 reviews
5 stars
65.01%
4 stars
24.90%
3 stars
6.54%
2 stars
1.87%
1 star
1.66%
Showing 3 of 3361
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4·
Reviewed on Jun 19, 2016
If you want to understand the context, use and possible tools to manage digital marketing understanding the importance of data in this process, this is the course you should apply for.
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4·
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
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SS
4·
Reviewed on Mar 13, 2016
Good course overall. I gave it only four stars because I expected it to be more practical and more hands-on analysis to do for assignments, instead of just discussing things.
Frequently asked questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What is the refund policy?
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Is financial aid available?
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What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.