PCA

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Clustering Analysis (Coursera) Coursera
University of Colorado Boulder

Clustering Analysis (Coursera)

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.

Aug 3rd 2026
5-12 Weeks
Mathematics for Machine Learning: PCA (Coursera) Coursera
Imperial College London

Mathematics for Machine Learning: PCA (Coursera)

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.

Jul 27th 2026
4 Weeks
Machine Learning Models in Science (Coursera) Coursera
LearnQuest

Machine Learning Models in Science (Coursera)

Embark on a journey into the world of applying machine learning techniques to solve complex scientific challenges. This course will guide you through every step of the machine learning pipeline, from data cleaning and transformation to running advanced algorithms. Perfect for scientists, researchers, and anyone interested in leveraging AI for problem-solving.

Jul 27th 2026
4 Weeks
Unsupervised Learning (Coursera) Coursera
IBM

Unsupervised Learning (Coursera)

Dive into the world of Unsupervised Learning with this engaging online course. Gain expertise in extracting valuable insights from data sets without labeled variables, mastering essential clustering and dimension reduction algorithms along the way. Perfect for data enthusiasts and professionals aiming to unlock hidden patterns within their data.

Jun 29th 2026
3 Weeks
Exploratory Multivariate Data Analysis (FUN) FUN
Agrocampus Ouest

Exploratory Multivariate Data Analysis (FUN)

Dive into the world of Exploratory Multivariate Data Analysis with our French-inspired course designed for practitioners. Master four fundamental techniques—PCA, CA, MCA, and clustering—to independently analyze data from diverse disciplines like marketing, surveys, ecology, and geography. This course is perfect for scientists who want to understand their datasets without becoming statisticians.

Mar 7th 2022
5-12 Weeks
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