Applied Statistics

Catalog description

Introduces fundamental probability and statistical concepts for application in business contexts. Students learn to analyze data, build basic probabilistic models, and make data-driven decisions. Topics to be covered include 1) Exploratory data analysis through visualization and descriptive statistics, 2) Basic probability and common distributions as building blocks for probabilistic models, 3) Estimation of, and prediction with, linear and logistic regression and 4) Classification, A/B testing, model selection and decision making under uncertainty.