Skill Track

Unsupervised Machine Learning with R

Unsupervised learning methods are central to your journey in data science. Learn how to reduce the number of dimensions in your data set, aggregate data into factors, and cluster your data points to make clear, robust conclusions about your data!

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R
16 hours
4 courses

Unsupervised Learning in R

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

4 hours

Cluster Analysis in R

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract ins…

4 hours

Factor Analysis in R

Explore latent variables, such as personality using exploratory and confirmatory factor analyses.

4 hours

Instructors

Hank Roark

Senior Data Scientist, Boeing

Dmitriy Gorenshteyn

Lead Data Scientist at Memorial Sloan Kettering Cancer Center

Jennifer Brussow

Psychometrician at Ascend Learning

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