Free Online Recommender Systems Courses & MOOCs

Coursera

Sungkyunkwan University - SKKU

Recommender Systems (Coursera)

Statistics & Data Analysis Data Science

Discover how to create effective recommendation systems that enhance user experiences and drive engagement on platforms like e-commerce sites, streaming services, and social media. This course covers the fundamentals of Recommender Systems, including Collaborative Filtering techniques and advanced applications using Deep Learning. Whether you're a developer, data scientist, or product manager, this course will equip you with the skills to design and implement personalized recommendation algorithms.

Sep 14th 2026

4 Weeks

Recommender Systems Deep Learning Coursera Plus

Coursera

The Hong Kong University of Science and Technology - HKUST

Search Engines for Web and Enterprise Data (Coursera)

CS: Software Engineering

Explore the fascinating world of search engines with our online course designed to teach you everything from basic concepts to advanced applications in web and enterprise data search technology. Gain insights into document indexing, searching algorithms, ranking techniques, understanding user intent, and more.

Sep 14th 2026

13-24 Weeks

Web Recommender Systems Web Search

Coursera

University of Minnesota

Matrix Factorization and Advanced Techniques (Coursera)

Data Science

Explore a comprehensive course on Coursera that delves into the intricacies of Matrix Factorization and Advanced Techniques. Learn how to construct powerful recommender systems by mastering dimensionality reduction and combining various algorithms effectively.

Sep 7th 2026

5-12 Weeks

Machine Learning Matrix Recommender Systems

Coursera

EIT Digital

Advanced Recommender Systems (Coursera)

Data Science

Discover how to use cutting-edge machine learning methods to create powerful recommender systems in our Advanced Recommender Systems course. This course will guide you through the intricacies of building advanced models that leverage user data to provide personalized recommendations. Learn about hybrid approaches, factorization machines, and optimizing your system for improved accuracy.

Sep 7th 2026

5-12 Weeks

Machine Learning Recommender Systems Data Science

Coursera

Stanford University,DeepLearning.AI

Unsupervised Learning, Recommenders, Reinforcement Learning (Coursera)

Data Science

Dive into the world of advanced machine learning with our 'Unsupervised Learning, Recommenders, Reinforcement Learning' course. This comprehensive program will equip you with essential skills in unsupervised learning techniques like clustering and anomaly detection, as well as cutting-edge approaches to building effective recommender systems and implementing deep reinforcement learning models.

Sep 7th 2026

3 Weeks

Machine Learning Clustering Recommender Systems

Coursera

University of Illinois at Urbana-Champaign

Text Retrieval and Search Engines (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of Text Retrieval and Search Engines with our expert-led course designed for those interested in mastering the retrieval and analysis of natural language text data. From web pages to social media posts, learn how to efficiently search, retrieve, and interpret human-generated content.

Aug 31st 2026

5-12 Weeks

Machine Learning Search Data Mining

Coursera

University of Minnesota

Introduction to Recommender Systems: Non-Personalized and Content-Based (Coursera)

Data Science

Dive into the world of personalized recommendations with our 'Introduction to Recommender Systems' course. Explore non-personalized and content-based filtering methods, essential for creating effective recommendation systems that improve user experiences across various platforms.

Aug 31st 2026

4 Weeks

Statistics Machine Learning Data Mining

Coursera

University of Minnesota

Recommender Systems: Evaluation and Metrics (Coursera)

Data Science

Dive into the world of Recommender Systems with this Coursera course designed to teach you the evaluation techniques and metrics crucial for optimizing recommendation algorithms. From measuring prediction accuracy to assessing rank accuracy and decision-support, this course will equip you with a deep understanding of how different factors like diversity and serendipity impact user experience and business success.

Aug 31st 2026

4 Weeks

Machine Learning Recommender Systems Evaluation

Machine Learning with Python: A Practical Introduction (edX)

EdX

IBM

Machine Learning with Python: A Practical Introduction (edX)

Statistics & Data Analysis Data Science

Embark on a practical journey into the world of Machine Learning with this hands-on Python course. Designed for beginners, it offers an in-depth exploration of both supervised and unsupervised learning methodologies, empowering you to harness data effectively and make accurate predictions.

Self Paced

Self-Paced

Python Machine Learning Regression