A hex logo with a heavy black border, split horizontally by a white zigzag line chart featuring four hollow crimson data points. The top half is solid black with the bold white text 'STAT 100', and the bottom half is solid crimson with the white text 'Introduction to Statistics and Data Science'.The hyperlink stat-100.com is provided.

Welcome to STATS 100 - Introduction to Statistics and Data Science in Fall 2026

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 statistics package R.

Prerequisite: No prior statistics or computing knowledge is assumed.



By the end of this course you will be able to:

  • explore data using descriptive statistics and visualizations;
  • read, write, and tidy up datasets;
  • make predictions and conclusions using models;
  • make decisions under uncertainty using statistical inference techniques;
  • consider impact of decisions related to data on humans, other livings, and the planet;
  • write human- and machine-readable code using R with reproducible workflows using Quarto, Git, and GitHub.

Midterm exam on Oct 7th at 1:30 - 2:45 pm during lecture time, location TBD

Team project proposal due Nov 4th at 5 pm on GitHub

Team project submission due Dec 4th at 5 pm on GitHub

Final Exam on date and time TBD in person

Weekly Calendar