Computational Diagnostics of Data, 5 cr

• 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