University of Maryland, College Park
Digital Marketing Analytics
University of Maryland, College Park

Digital Marketing Analytics

Michael Trusov

Instructor: Michael Trusov

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

What you'll learn

  • SEO and SEM - KPIs and keyword strategies

  • Web Analytics - A/B Testing

  • Machine Learning/AI applications/Big Data

  • Text and Image Analysis

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

December 2024

Assessments

12 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 3 modules in this course

In the first module, we will introduce you to the course and the objectives. You'll have the opportunity to meet your instructor, connect with your peers, and get familiar with the Coursera platform and support resources. We'll also explore the strategies for optimizing search engine visibility, analyzing the performance of paid search campaigns, and leveraging web analytics to track and improve digital marketing effectiveness.

What's included

8 videos14 readings6 assignments2 discussion prompts

In this module, we will start with an exploration into Online Testing. Many managerial decisions are made based on professional knowledge and intuition, but often this knowledge is not sufficient enough to make the optimal decision. That's where testing comes in. Next, we will talk about Recommendation Systems. You may not realize it, but your internet experience is defined by recommendation systems. From music, games, videos, films, and what to buy, recommendation systems predict your preferences to suggest products or services that are likely to be of interest to you.

What's included

5 videos8 readings5 assignments2 discussion prompts1 plugin

Congratulations! You've made it to the end of the course. As a final assessment, it's time to apply your learning.

What's included

1 assignment

Instructor

Michael Trusov
University of Maryland, College Park
1 Course40 learners

Offered by

Recommended if you're interested in Marketing

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Marketing? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions