In this course, you will delve into the transformative impact of machine learning and big data AI on digital marketing. Explore powerful tools and techniques that enable businesses to automate decision-making, predict customer behavior, and optimize marketing efforts in real time. Through an in-depth study of machine learning methods, neural networks, and big data applications, you will gain the skills to evaluate the performance of machine learning algorithms and leverage AI-driven insights to enhance digital marketing strategies.
Recommended experience
What you'll learn
Machine Learning Methods
Big Data and AI Applications
Performance Evaluation
Skills you'll gain
Details to know
Add to your LinkedIn profile
December 2024
15 assignments
See how employees at top companies are mastering in-demand skills
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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 will dive into the transformative role of machine learning and artificial intelligence in digital marketing and gain insights into how these technologies can help automate marketing processes, predict customer behavior, and optimize decision-making. We’ll also explore practical applications of AI, such as improving customer segmentation and enhancing personalized marketing strategies to drive measurable business outcomes.
What's included
6 videos12 readings8 assignments3 discussion prompts1 plugin
In this module, we’re going to introduce Big Data and Artificial Intelligence. We'll also look at how marketers use rich data and enhanced analytical capacity to move from qualitative to quantitative analytical data, from data to big data, and from machine learning to deep learning AI to better understand and market to consumers.
What's included
5 videos9 readings6 assignments2 discussion prompts
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
Offered by
Recommended if you're interested in Marketing
Amazon Web Services
Emory University
University of Virginia Darden School Foundation
Why people choose Coursera for their career
New to Marketing? Start here.
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
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.