| Course Title: Introduction to Data Science |
| Start Date: 01/28/2025 End Date: 05/13/2025 |
| Term: Spring Semester 2025 |
| Description: Data scientists answer questions with scientific and social relevance using statistical theory and computation. We will discuss elementary topics in statistics and learn how to write code (in Python) to visualize data and perform simulations. We will use these tools to answer questions about real data sets. We will also explore ethical issues faced by data scientists today. |
| Distribution(s): II - Math & Sciences |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Arie Shaus | ashaus@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 01/28/2025 - 05/13/2025 | Lecture | Monday, Wednesday and Friday | 11:30AM - 12:45PM | CLAP - Clapp Laboratory | 420 | Weekly |
| Requisite Courses | ||
| None |
| Comments |
| Additional Comments |
| Course Tags | ||
| 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: Open | Capacity: 18 | Enrollment: 14 | Available: 4 | Waitlist: 0 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| To be determined. |
| Additional Book Comments |
| This is NOT the complete book list for this class. |