Detailed Course Information |
Summer 1 - 2023
Apr 19, 2024 |
|
 |
||
| Course registration requirements and descriptions may vary at the section level based on the objectives of the course/instructor. Please be sure to view each semester's course information for any updates. To research if the course is being offered in current or future semesters, click on the appropriate Schedule Type link below. |
| CSC 120 - Applied Data Analytics |
|
Applied data analytics examines how organizations use data to gain insights and make better decisions by utilizing data modeling and statistical methods. In this introductory course, students study a variety of techniques for descriptive, predictive, and prescriptive data analytics. Students learn efficient result reporting methodologies and develop skills to produce effective data visualizations.
3.000 Credit hours 3.000 Lecture hours Levels: School of Continuing Education, Graduate Level, Graduate Level, Graduate, Undergraduate Schedule Types: Asynchronous Meetings, Hybrid Course, Classroom Based, Distance Learning, HyFlex Course, Synchronous Meetings Mathematics/Computer Science Department Course Attributes: UG Core:Quant Reasoning Restrictions: Must be enrolled in one of the following Levels: Undergraduate |
| Return to Previous | New Search |
|