- Collaborative Filtering
- Recommender Systems
- Matrix Factorization
- Summary Statistics
- Term Frequency Inverse Document Frequency (TF-IDF)
- Microsoft Excel
Recommender Systems Specialization
Master recommender systems.. Learn to design, build, and evaluate recommender systems for commerce and content.
What you will learn
Build recommendation systems
Implement collaborative filtering
Master spreadsheet based tools
Use project-association recommenders
Skills you will gain
About this Specialization
How the Specialization Works
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
There are 5 Courses in this Specialization
Frequently Asked Questions
What is the refund policy?
Can I just enroll in a single course?
Is financial aid available?
Can I take the course for free?
Is this course really 100% online? Do I need to attend any classes in person?
How long does it take to complete the Specialization?
What background knowledge is necessary?
Do I need to take the courses in a specific order?
Will I earn university credit for completing the Specialization?
What will I be able to do upon completing the Specialization?
What is the honors track?
How does this Specialization relate to the prior Recommender Systems courses?
More questions? Visit the Learner Help Center.