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MAT-235 Introduction to Data Science

Apply standards and practices for collecting, organizing, managing, and exploring data, combining principles and skills from statistics and computer programming with a goal of using these tools to provide information to decision makers. Topics include causality, single and multivariable data manipulation, data visualization and generation, statistical inference, statistical modeling, and machine learning. prerequisite: A grade of C or better in any college level math course, or CTP-160 Python, or permission from the Mathematics Assistant Dean. In addition to these course requirements, students must possess proficiency in basic computing tasks, including file storage and management and online communications.

Term: Spring 2025

Course Type: Credit - 4 Credits

Section: 200

Ways to take the class: Online Blended

Days: W

Time: 6:30PM to 8:30PM

Start Date: 01/22/2025

End Date: 05/18/2025

Location: Online

Room: OL Building:
Online Synchronous

Instructor: Thao-Nhi Luu (Subject to change)

Class Size: 20

General Education Requirement: Mathematics

Section Info: This section is a blend with online and virtual instruction. Regular attendance in online class sessions Wednesdays from 6:30 - 8:30pm is expected for this section. Exams for this section require in-person testing at a testing center. For additional information, visit: https://www.aacc.edu/resources/academic- services/testing/testing-for-existing- students/