Statistical tools for modern data analysis can be used across a range of industries to help you guide organizational, societal and scientific advances. This course uses industry-standard applications and software (R and Python) for numerical reasoning and predictive data modeling, with an emphasis on conceptual rather than theoretical understanding.

Topics Include

  • Bootstrap
  • Correlated errors
  • Data snooping
  • Interactions and qualitative variables
  • Multiple linear regression
  • Penalized regression
  • Poisson
  • Regression and prediction
  • Simple linear regression
  • Transformations
  • Variance and cross-validation