Free Online Dimensionality Reduction Courses & MOOCs

Coursera

Imperial College London

Mathematics for Machine Learning: PCA (Coursera)

Data Science

Dive into the essential mathematics behind one of the most popular dimensionality reduction techniques in machine learning: Principal Component Analysis (PCA). This comprehensive course is designed for those with an intermediate understanding of statistics and linear algebra, aiming to equip you with the skills needed to apply PCA effectively in your data science projects. By the end of this course, you'll have a solid grasp on how to minimize reconstruction error and extract meaningful patterns from high-dimensional datasets.

Jun 29th 2026

4 Weeks

Statistics Analysis Machine Learning

Coursera

LearnQuest

Capstone Project: Advanced AI for Drug Discovery (Coursera)

Computer Science

Embark on a transformative journey into the heart of drug development with 'Capstone Project: Advanced AI for Drug Discovery'. This course delves deep into leveraging cutting-edge AI to identify and target specific areas within COVID-19 virus mutations that could be potential therapeutic targets. By comparing genome sequences, performing dimensionality reduction through PCA, and identifying common features, learners will gain a comprehensive understanding of how AI can revolutionize the drug discovery process.

Jun 29th 2026

3 Weeks

Artificial Intelligence Machine Learning AI

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.

Jun 22nd 2026

4 Weeks

Calculus Python Statistics

Coursera

University of Colorado Boulder

Clustering Analysis (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of unsupervised learning with our comprehensive 'Clustering Analysis' course on Coursera. This course is designed to equip you with essential knowledge and practical skills in clustering techniques and dimension reduction, enabling you to effectively analyze and interpret complex datasets. Whether you're a data enthusiast or a professional looking to advance your career, this course offers valuable insights into the unsupervised learning landscape.

Jun 22nd 2026

5-12 Weeks

Clustering PCA Clustering Analysis

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