Introduction to Statistics and Applied Data Analysis

Harvard Summer School

STAT S-100

Section 1

CRN 32188

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This course is an intensive introduction to the fundamental concepts of probability, statistical inference, and statistical computing necessary for a working knowledge of applied statistics. The course moves at an accelerated pace and requires a substantial commitment in time and effort. The primary goal of this course is to prepare students for conducting research in an applied field, which requires being comfortable with the technical details of analysis, statistical computing, and the scientific process as a whole, from determining appropriate methods for addressing a research question to clearly communicating findings in the context of the question. The course explores applications within biostatistics, among other fields. Harvard Extension School students may count one of the following courses toward a degree or certificate, but not more than one: MGMT E-104, STAT S-100, STAT E-101 (offered previously), STAT E-102, or STAT E-104.

Credits: 4

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Term

Summer Term 2026

Part of Term

Full Term

Format

Flexible Attendance Web Conference

Credit Status

Graduate, Noncredit, Undergraduate

Section Status

Open

Instructor Info

Julie Phuong Vu, MS

Preceptor in Statistics, Harvard University


Kevin A. Rader, PhD

Senior Preceptor in Statistics, Harvard University


Meeting Info

TTh 8:30am - 11:30am (6/22 - 8/7)

Participation Option: Online Asynchronous or Online Synchronous

In online asynchronous courses, you are not required to attend class at a particular time. Instead you can complete the course work on your own schedule each week.

Deadlines

Last day to register:

Additional Time Commitments

Optional sections to be arranged.

Prerequisites

No prior knowledge of statistics is required; students with prior exposure to introductory statistics (such as through an AP statistics course) will encounter some overlapping material but gain a better understanding of the statistical thinking and principles behind commonly used methods, in addition to learning practical skills for visualizing and analyzing data. This course uses the statistical programming language R. No prior experience with a programming language is required, but expect to devote the first 1-2 weeks to acquiring fluency with R (using materials provided in the course). Precalculus is the only mathematical prerequisite.

Notes

This course meets via web conference. Students may attend at the scheduled meeting time or watch recorded sessions asynchronously. Recorded sessions are typically available within a few hours of the end of class and no later than the following business day. See minimum technology requirements. Open to admitted Secondary School Program students by petition. Harvard College students: This course is eligible for degree credit, but see important policy information.

Tuition

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All Sections of this Course

CRN Section # Participation Option(s) Instructor Section Status Meets Term Dates
26935 1 Online Asynchronous, Online Synchronous Stacey Gelsheimer Open W 5:10pm - 7:10pm
 Jan 26 to May 16
17311 1 Online Asynchronous, Online Synchronous Stacey Gelsheimer Open T 5:10pm - 7:10pm
 Sep 2 to Dec 20
32188 1 Online Asynchronous, Online Synchronous Team Taught Open TTh 8:30am - 11:30am
 Jun 22 to Aug 7
24571 2 Online Asynchronous, Online Synchronous Hidefusa Okabe Open Th 5:30pm - 7:30pm
 Jan 26 to May 16
16833 2 Online Asynchronous, Online Synchronous Hidefusa Okabe Open Th 5:30pm - 7:30pm
 Sep 2 to Dec 20

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