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: Fall 2024
Course Type: Credit - 4 Credits
Section: 010
Ways to take the class: Online Blended
Days: MW
Time: 12:00PM to 1:15PM
Start Date: 08/26/2024
End Date: 12/15/2024
Location: Online
Room:
OL
Building:
Online Synchronous
Instructor: Thao-Nhi Luu (Subject to change)
Class Size: 20
General Education Requirement: Mathematics
Section Info: This is an online blended section with mandatory online meetings MW from 12:00 - 1:15pm. In-person testing at a testing center may be required for this section. For additional information, visit: https://www.aacc.edu/resources/academic- services/testing/testing-for-existing- students/