Welcome



Modeling and inference

Data Science with R

Transform <-> visualize

Import <-> tidy

Data science ethics

  • Misrepresentation
  • Data privacy
  • Algorithmic bias

Modeling and inference

  • Fitting, interpreting, selecting, and evaluating models
  • Prediction, classification, and assessing accuracy
  • Making inferences and quantifying uncertainty