Spring 2021

Data Science

Listed in: Mathematics and Statistics, as STAT-231

Faculty

Katharine F. Correia (Section 01)
Amy S. Wagaman (Section 02)

Description

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.

STAT 231 will be held mostly online, with face-to-face community building opportunities.

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

If Overenrolled: For the Fall, priority for rising sophomores and Statistics majors. For the Spring, priority for sophomores and Statistics majors.

Cost: 0 ?

Keywords

Online Only, Quantitative Reasoning, Science & Math for Non-majors

Offerings

2020-21: Offered in Fall 2020, Spring 2021
Other years: Offered in Fall 2017, Spring 2018, Fall 2018, Fall 2019, Spring 2020, Fall 2020