When you enroll in this course, you'll also be enrolled in this Specialization.
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
There are 3 modules in this course
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.
The course is divided into two comprehensive modules. The first module, Machine Learning, focuses on methods of machine learning, performance evaluation, and method configuration. The second module, Big Data and Artificial Intelligence, covers topics such as Big Data AI, Hadoop & Deep Learning, and Neural Networks. By the end of the course, you will be equipped to describe the paradigm shift in machine learning methods, understand the expanding applications of big data to neural networks, and evaluate the effectiveness of machine learning algorithms to drive growth and innovation in digital marketing.
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.
Welcome to the Digital Marketing Tools Course•7 minutes
Getting Help•1 minute
Introduction to Machine Learning•4 minutes
Introduction to Methods of Machine Learning•3 minutes
Introduction to Machine Learning Methods, Part 1•3 minutes
Introduction to Machine Learning Methods, Part 2•2 minutes
Additional Reading: The Naïve Bayes Algorithm•8 minutes
Introduction to Performance Evaluation•3 minutes
Introduction to Method Configuration•4 minutes
Machine Learning: Practice & Apply•7 minutes
Machine Learning Scenario•6 minutes
Machine Learning Algorithms Feedback •1 minute
8 assignments•Total 29 minutes
Machine Learning•5 minutes
Machine Learning Scenario•2 minutes
Apply Your Learning: Algorithms & Performance•3 minutes
Introduction to Methods of Machine Learning•3 minutes
Methods of Machine Learning I•5 minutes
Methods of Machine Learning II•5 minutes
Performance Evaluation•3 minutes
Method Configuration•3 minutes
3 discussion prompts•Total 30 minutes
Meet Your Learning Group•10 minutes
Machine Learning Discussion•10 minutes
Algorithms Discussion•10 minutes
1 plugin•Total 4 minutes
Algorithms and Performance•4 minutes
Big Data and Artificial Intelligence
Module 2•2 hours to complete
Module details
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.
The University of Maryland, College Park is the state's flagship university and one of the nation's preeminent public research universities. A global leader in research, entrepreneurship and innovation, the university is home to more than 40,700 students, 14,000 faculty and staff, and nearly 400,000 alumni. The university’s faculty includes two Nobel laureates, 10 Pulitzer Prize winners, 69 members of the national academies and scores of Fulbright scholars. Located just outside Washington, D.C., the University of Maryland is committed to social entrepreneurship as the nation’s first “Do Good” campus, and discovers and shares new knowledge every day through research and programs in academics, the arts, and athletics.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.