Unsupervised Machine Learning by Coursera

Explain the kinds of problems suitable for Unsupervised Learning approaches

Explain the curse of dimensionality, and how it makes clustering difficult with many features

Describe and use common clustering and dimensionality-reduction algorithms

Try clustering points where appropriate, compare the performance of per-cluster models

Understand metrics relevant for characterizing clusters

This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting.