Fall 2019

Data Science

Listed in: Mathematics and Statistics, as STAT-231


Katharine F. Correia (Section 01)
Nicholas J. Horton (Section 02)


Computational data analysis is an essential part of modern statistics and data science. This course provides a practical foundation for students to think with data by participating in the entire data analysis cycle. Students will generate statistical questions and then address them through data acquisition, cleaning, transforming, modeling, and interpretation. This course will introduce students to tools for data management and wrangling that are common in data science and will apply those tools to real-world applications. Students will undertake practical analyses of large, complex, and messy data sets leveraging modern computing tools.

Requisite: STAT 111 or STAT 135 and COSC 111 or consent of the instructor. Limited to 24 students. Fall semester: Professors Correia and Professor Horton. Spring semester: Professor Correia. 

If Overenrolled: priority for sophomores then STAT majors

Cost: $100 ?

STAT 231 - L/D

Section 01
Tu 01:00 PM - 02:20 PM SCCE D103
Th 01:00 PM - 02:20 PM SCCE D103

Section 02
Tu 01:00 PM - 02:20 PM SCCE E212
Th 01:00 PM - 02:20 PM SCCE E212

This is preliminary information about books for this course. Please contact your instructor or the Academic Coordinator for the department, before attempting to purchase these books.

Section(s) ISBN Title Publisher Author(s) Comment Book Store Price
All Modern Data Science with R Boca Raton, FL: CRC Press, 2017 Baumer, Benjamin S., Daniel T. Kaplan, and Nicholas J. Horton Required Amherst Books TBD

These books are available locally at Amherst Books.


2024-25: Not offered
Other years: Offered in Fall 2017, Spring 2018, Fall 2018, Fall 2019, Spring 2020, Fall 2020, Spring 2021, Fall 2021, Spring 2022