| Course Title: Topics: 'Storytelling with Data Visualization' |
| Start Date: 01/27/2026 End Date: 05/12/2026 |
| Term: Spring Semester 2026 |
| Description: Data storytelling techniques blend the principles of data visualization, data analysis, and visual design to tell compelling, data-driven stories across a wide variety of fields. Bridging public communication and data, these techniques are used every day by data journalists and data analysts as well as public science and research communicators in for- and non-profit organizations across the globe. In this course, students will explore how a variety of data storytelling techniques work by critically examining state-of-the-art examples and developing a portfolio of data-driven stories of their own. |
| Distribution(s): II - Math & Sciences , TP - Topics Course |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Alyxander Burns | ajburns@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 01/27/2026 - 05/12/2026 | Lecture | Monday and Wednesday | 01:45PM - 03:00PM | CLAP - Clapp Laboratory | 218 | Weekly |
| Requisite Courses | ||
| Prereq: COMSC-205. | Take previously | Required |
| 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: Closed | Capacity: 18 | Enrollment: 19 | Available: 0 | Waitlist: 0 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| No book purchases are required/recommended for this class. |
| Additional Book Comments |