Spring 2022

Data Science

Listed in: Mathematics and Statistics, as STAT-231


Amy S. Wagaman (Sections 01 and 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, wrangling, and databases 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 and Spring semesters. The Department. 

Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: quantitative work, problem sets, projects, group work, use of computational software, may include quizzes or exams Students with documented disabilities who will require accommodations in this course should be in consultation with Accessibility Services and reach out to the faculty member as soon as possible to ensure that accommodations can be made in a timely manner.

If Overenrolled: priority for sophomores then STAT majors

Cost: $100 ?

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 Book available for free online at https://mdsr-book.github.io/mdsr2e/ Amherst Books TBD

These books are available locally at Amherst Books.


2023-24: Not offered
Other years: Offered in Fall 2017, Spring 2018, Fall 2018, Fall 2019, Spring 2020, Fall 2020, Spring 2021, Fall 2021, Spring 2022