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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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Loved by learners at thousands of companies

1
R
Unsupervised Learning in R

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

4 hours

Hank Roark Headshot

Hank Roark

Senior Data Scientist, Boeing

2
R
Cluster Analysis in R

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

4 hours

Dmitriy Gorenshteyn Headshot

Dmitriy Gorenshteyn

Lead Data Scientist at Memorial Sloan Kettering Cancer Center

3
R
Factor Analysis in R

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

4 hours

Jennifer Brussow Headshot

Jennifer Brussow

Psychometrician at Ascend Learning

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