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WKSP 0714 - Statistical Learning in R

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This course provides Airmen an introduction and detailed look at the specific realm of data research known as statistical learning. Students will understand supervised and unsupervised learning, when to use linear regression or classification regression. Additionally resampling methods and model validations are discussed and implemented. The regularization of model selection through subset, dimensional reduction and ridge regression are examined. Finally, Tableau visualizations are implemented upon the statistical learning results to tell a story to the decision makers and stock holders. This is an advanced course in data research for students familiar with statistical theory and modeling methods. Additionally students should have experience with R-studio.

To Apply

Grade Restrictions: None

Special Requirements: None

Availability

Course Information

Delivery Method: e-Learning Course

Course Length:

Event Type: Training (Functional, Technical)

Primary Audience:

CL Points: 30

Prerequisites:

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Air Force Institute of Technology
2950 Hobson Way
Wright-Patterson Air Force Base, OH 45433-7765
Commercial: 937-255-6565 | DSN: 785-6565