Course Schedule and Catalog
Course Schedule - Fall Semester 2022
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
MGMT 995 001 (CRN: 14492)
DATA MINING FOR BUS. ANALYTICS
Long Title: INTRODUCTION TO DATA MINING FOR BUSINESS ANALYTICS
Department: Management
Instructor: Tezcan, Tolga
Meeting: 6:15PM - 9:30PM TR (2-AUG-2022 - 18-AUG-2022)
Part of Term: MBA Term 0
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 1.5
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Program(s):
MBA for Professional Extended
MBA for Professional Weekend
MBA
MBA for Professionals
Must be enrolled in one of the following Level(s):
Graduate
Graduate Quadmester
Prerequisites: MGMT 595 OR MGMP 595 OR MGMW 595 OR MGMT 895
Section Max Enrollment: 65
Section Enrolled: 38
Enrollment data as of: 19-APR-2024 4:18PM
Final Exam: GR Course-Dept Schedules Exam
Description: The main purpose of this course is to expose students to the interactive process of analyzing and exploring enterprise data to find insights that can be leveraged for competitive advantage. We will apply analytical tools to data in order to learn how to discover patterns and associations in business data that would otherwise be ignored. We will go through the steps of a typical data science project, such as data exploration, data visualization, (data) storytelling, prediction, classification, and optimization, using a real-world data set.