| Course Title: Introduction to Data Science |
| Start Date: 01/23/2023 End Date: 05/08/2023 |
| Term: Spring Semester 2023 |
| 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 |
| Kenneth Mulder | kmulder@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 01/23/2023 - 05/08/2023 | Lecture | Monday, Wednesday and Friday | 03:15PM - 04:30PM | CLAP - Clapp Laboratory | 402 | Weekly |
| Requisite Courses | ||
| None |
| Comments |
| Additional Comments |
| Course Tags |
| Cross-listed Sections |
| None |
| Course Availability | ||||
| Section status: Closed | Capacity: 18 | Enrollment: 19 | Available: 0 | Waitlist: 0 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| Title: Computation and Inferential Thinking: The Foundations of Data Science Author: Adhikari, Ani, John DeNero, and David Wagner Copyright: 2022 Edition: Volume: ISBN: Publisher: Self Published |
Required | 0.00 |
| Additional Book Comments |
| This is the complete book list for this class. |
| Instructor's comments about the book list: Our text is free on-line at https://inferentialthinking.com/chapters/intro.html and may be downloaded as a pdf. |