MA 235 - Introduction to Data Science Credit Hours: 4 Contact Hours: 4 Prerequisites/Other Requirements: None
English Prerequisites: None
Math Prerequisites: None
Corequisites: MA 215 (C or Higher) Must be taken either prior to or at the same time as this course. Description: Introduction to the main tools of data science. Such as probability, statistical inference, regression, and machine learning. Introduction to analyzing data and turning data into decision making tools. Topics include collecting, wrangling, and sharing data, and how to communicate results through graphical visualizations.
The course will prepare students to learn the more advanced concepts and skills of data science.
Statistical software will be used. No previous knowledge of a Statistics software package or programing is necessary. (Some experience with programming is recommended.)
Course Fee: $19.00
Department Consent: No Department Consent Required General Education Distribution Category Met: None
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