IS 372: IM Rsch methods and tools
Section: 1001
| Course | Section | Credits | Instructor | Dates | Status | Call Number |
|---|---|---|---|---|---|---|
| IS 372 | 1001 | 3 (3 max credits) | Yu Ruizhi | Jan. 21, 2025 to May. 10, 2025 | Open | 26072 |
Description
Students will be exposed to the Cross-Industry Standard Process for Data Mining (CRISP-DM) and introduced to statistical methodologies related to the analysis of organizational data. Taking an analytical approach, understanding why a particular statistical methodology/package should be used for specific business understanding will be a primary focus of the course.Prerequisites
Lee Business School major or Information Management minor a minimum grade of C
Notes
This is an Internet class; refer to Canvas instructions at https://unlv.instructure.com.It is necessary to purchase the textbook An Introduction to Statistical Learning: with Applications in Python, Springer Nature, 2023, ISBN 13: 9783031391897
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