| Course Title: Applied Regression Methods |
| Start Date: 09/04/2024 End Date: 12/17/2024 |
| Term: Fall Semester 2024 |
| Description: This course includes methods for choosing, fitting, evaluating, and comparing statistical models; introduces statistical inference; and analyzes data sets taken from research projects in the natural, physical, and social sciences. |
| Distribution(s): II - Math & Sciences |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Isabelle Beaudry | ibeaudry@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 09/04/2024 - 12/17/2024 | Lecture | Monday, Wednesday and Friday | 11:30AM - 12:45PM | TBA | TBA | Weekly |
| Requisite Courses | ||
| Prereq: MATH-211 and STAT-242. | Take previously | Required |
| Comments |
| Additional Comments |
| Course Tags | ||
| NXDTA0001 | NXDTA: Nexus in Data Analytics and Society | This course is approved for the Data Analytics |
| EOS-5 | EOS-5: Data and Technical Analysis | This course has been approved to count towards the EOS minor in Area 5: Data and Technical Analysis |
| DATA0001 | DATA-SCI: Data Science Core Course | This is a required core course of the Data Science major. |
| DATA0003 | DATA-SE: Data Science Elective Course | This course is an elective option for the Data Science major. |
| Cross-listed Sections |
| None |
| Course Availability | ||||
| Section status: Waitlisted | Capacity: 18 | Enrollment: 18 | Available: 0 | Waitlist: 14 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| To be determined. |
| Additional Book Comments |
| This is NOT the complete book list for this class. |