STAT 100
Introduction to Statistics and Data Science
Introduction to key ideas underlying statistical and quantitative reasoning, and the practice of data science. Course topics include methods for organizing, summarizing and visualizing data; basics of probability; elements of study design; data ethics; parameter estimation and hypothesis testing in one- and two-sample problems; regression with one or more predictors; and basic analysis of categorical data. Students will learn a reproducible workflow for analyzing data in the R software…
Topics
- methods for organizing
- summarizing and visualizing data
- basics of probability
- elements of study design
- data ethics
- parameter estimation and hypothesis testing in one- and two-sample problems
- regression with one or more predictors
- and basic analysis of categorical data
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗Public 2026-2027 offerings
- Catalogue entry ↗
Catalogue variants
- Introduction to Statistics and Data Science · Harvard FAS