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
1
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Unsupervised Learning in R

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

4 hours
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Hank Roark

Senior Data Scientist, Boeing

3
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Factor Analysis in R

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

4 hours
Photo of Jennifer Brussow
Jennifer Brussow

Psychometrician at Ascend Learning

Instructors

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Hank Roark

Senior Data Scientist, Boeing

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Dmitriy Gorenshteyn

Lead Data Scientist at Memorial Sloan Kettering Cancer Center

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Jennifer Brussow

Psychometrician at Ascend Learning

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