Free Online Unsupervised Learning Courses & MOOCs

Coursera

Arizona State University

Introduction to Machine Learning with Python (Coursera)

CS: Software Engineering CS: Programming

Embark on a journey into the world of Machine Learning (ML) with our beginner-friendly course. Using Python as your toolset, you'll explore various aspects of ML including supervised learning, unsupervised learning, and delve into advanced topics like deep learning and generative adversarial networks. This course is perfect for those new to ML who want to understand its applications and learn how to implement models using Python.

Jul 27th 2026

4 Weeks

Python Machine Learning Image Processing

Coursera

University of Colorado Boulder

Machine Learning for Marketers (Coursera)

Statistics & Data Analysis Data Science

Dive into 'Machine Learning for Marketers' - an advanced online course that equips you with the skills to harness machine learning techniques for smarter marketing. This course focuses on applying supervised learning methods to predict customer behavior and optimize decision-making processes.

Jul 27th 2026

4 Weeks

Marketing Machine Learning Decision Making

Coursera

University of Washington

Practical Predictive Analytics: Models and Methods (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of data science with 'Practical Predictive Analytics: Models and Methods'. This course is designed for those eager to learn how to design statistical experiments, analyze results using advanced techniques, and avoid common misinterpretations in big data. Gain a core understanding of practical machine learning methods and apply them to real-world problems.

Jul 20th 2026

4 Weeks

Machine Learning Models Methods

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

Coursera

IBM

Deep Learning and Reinforcement Learning (Coursera)

Data Science

Dive into the world of cutting-edge Machine Learning disciplines with our 'Deep Learning and Reinforcement Learning' course. Learn about Neural Networks, modern Deep Learning architectures, and apply these concepts to Supervised and Unsupervised Learning scenarios. This course is ideal for those looking to advance their skills in AI and machine learning.

Jul 20th 2026

5-12 Weeks

Calculus Python Statistics

Coursera

IBM

Specialized Models: Time Series and Survival Analysis (Coursera)

Data Science

Dive into the world of specialized machine learning models with 'Specialized Models: Time Series and Survival Analysis'. This comprehensive online course will equip you with essential skills in forecasting and analyzing complex datasets that involve time components or censored data. Perfect for professionals looking to advance their predictive modeling expertise.

Jul 20th 2026

4 Weeks

Calculus Python Statistics

Coursera

University of Pennsylvania

AI Applications in Marketing and Finance (Coursera)

Economics & Finance Business

Explore the transformative power of Artificial Intelligence in modern marketing and finance with this insightful online course. Gain expertise in leveraging AI applications to refine your marketing approach, optimize consumer targeting, and safeguard financial assets against risks such as fraud and credit issues.

Jul 20th 2026

4 Weeks

Finance Marketing Artificial Intelligence

Coursera

IBM

Machine Learning Introduction for Everyone (Coursera)

Data Science

Embark on a journey into the world of Machine Learning with our beginner-friendly course. Over three engaging modules, you'll explore the history, applications, and core concepts of machine learning, including supervised vs unsupervised learning, classification, regression, and model evaluation. Ideal for those new to data science looking to build a strong foundation.

Jul 20th 2026

3 Weeks

ML Artificial Intelligence Machine Learning

AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning (edX)

EdX

Delft University of Technology,DelftX

AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning (edX)

Robotics & Computer Vision

Discover the core concepts of artificial intelligence with our Introduction to Unsupervised, Deep, and Reinforcement Learning course. This edX offering provides a solid foundation in clustering, dimensionality reduction, deep learning, and reinforcement learning techniques, empowering you to solve complex real-world challenges using AI. Whether you're new to machine learning or looking to expand your expertise, this course is designed for learners at all levels.

Self Paced

Self-Paced

Artificial Intelligence Clustering AI