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Introduction to Statistics and Data Science
STAT 100

Course Information

Description

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. No prior statistics or computing knowledge is assumed.

Course Notes

Anti-Req: this course may not be taken for credit if STAT 102, STAT 104, STAT 111, STAT 139, STAT 149, or STAT 244 already complete. This course requires students to choose timed sections during registration.

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Department Statistics
Course Component Lecture
Subject Statistics
Grading Basis FAS Letter Graded
Course Requirements Anti-Req: may not be taken for credit if STAT 111, STAT 139, STAT 149 or STAT 244 already complete.
Exam/Final Deadline Dec. 10, 2025
General Education N/A
Quantitative Reasoning with Data Yes
Divisional Distribution Science & Engineering & Applied Science
Course Level For Undergraduate and Graduate Students