Fundamentals of Data Science Part I: Inference and ExperimentIn Part I of this series, we cover basic statistical inference and experimentation, focusing on: basic statistics; derivation and review of key distributions and their relations; hypothesis testing, including an in depth power analysis for the chi squared statistic; experimentation, including A B tests, stratification, one and two factor experiments, and an introduction to bandit algorithms; maximum likelihood; gradient descent; introduction to