Computational Diagnostics of Data, 5 op
- Kuvaus
- Suoritustavat
General error measures
Statistical hypothesis testing
Classification models
Resampling methods
Regression models
Survival analysis
Examples for complex data
Programming in R
Complementary knowledge
Statistical thinking
Introduction to programming in R
Data analysis is unlike following a cookbook recipe
Learn about different data types
Evaluating results requires different statistical error measures
Resampling techniques allow the quantification of uncertainty