Course Schedule - Spring Semester 2024

     

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.

BUSI 395 002 (CRN: 24388)

DATA ANALYTICS

Long Title: DATA ANALYTICS
Department: Business
Instructor: Hamidieh, Kam
Meetings:
8:00AM - 9:15AM MW (8-JAN-2024 - 19-APR-2024) 
11:00AM - 11:50AM W (8-JAN-2024 - 19-APR-2024) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture/Laboratory
Language of Instruction: Taught in English
Distribution Group: Distribution Group III
Method of Instruction: Face to Face
Credit Hours: 4
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: MATH 101 OR MATH 102 OR MATH 105 OR MATH 112
Section Max Enrollment: 19
Section Enrolled: 19
Total Cross-list Max Enrollment: 65
Total Cross-list Enrolled: 63
Enrollment data as of: 17-APR-2024 10:56AM
 
Additional Fees: None
 
Final Exam: Scheduled Final Exam-Dept Room
Final Exam Time:
29-APR-2024  
7:00PM - 10:00PM M
 
Description: An introduction to the statistics and mathematics required for the applications of data science to business environments. The course covers both descriptive and predictive analytics. Starting with the building blocks of probability, random variables and sampling distributions moving to hypothesis testing and regression analysis and culminating with more advanced topics such as multiple regression, model selection and time series analysis emphasizing their use in addressing concrete business problems. Cross-list: BUSI 395, BUSI 395, BUSI 395.