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DATS211 - Introduction to Data Science

Course Details

Course Code: DATS211 Course ID: 5079 Credit Hours: 3 Level: Undergraduate

This course provides an overview of data science including a foundation in research methodology. Data science is a data-driven process that provides descriptive, predictive, and prescriptive insight. Whether reporting on historical information or making predictions about future events, the goal of data science is to add value through analysis that informs. To meet this goal this course introduces a range of tools and methods including supervised and unsupervised techniques. These include techniques such as classification, rule-based association techniques, support vector machines, K-nearest neighbor, regression, and clustering techniques such as K-Means. (Prerequisite: DATS201)





Prerequisites

Course Schedule

Registration Dates Course Dates Session Weeks
02/22/22 - 07/29/22 08/01/22 - 09/25/22 Summer 2022 Session I 8 Week session
05/21/22 - 11/04/22 11/07/22 - 01/01/23 Fall 2022 Session I 8 Week session

Current Syllabi

Information is provided in the syllabus when the course begins.
Information is provided in the syllabus when the course begins.
Information is provided in the syllabus when the course begins.
Book Title:Various resources from Trefry Library and/or the Open Web are used. Links provided inside the classroom.
ISBN:D2L Note

Previous Syllabi

Not current for future courses.