New course builds data literacy and AI skills
As AI becomes part of everyday work, data literacy is essential. Knowing how to ask good questions, assess evidence, and recognize limitations helps us evaluate AI and make informed decisions.
The Office of Institutional Research & Analytics has launched Data Fluency for Higher Education Professionals, a free online course to help staff build these skills. Participants will learn to use data and AI responsibly, evaluate evidence, and communicate findings clearly.
Developed by teaching and learning experts at Harvard and Brown University, the course brings colleagues together to explore realistic scenarios, use AI to develop and assess ideas, and apply what they learn to a data challenge relevant to their role.
This course consists of six, 2-hour Zoom sessions over 12 weeks covering:
- Understanding the data landscape
- Collecting and managing data
- Making sense of your data
- Telling a story with data
- Becoming a critical data consumer
- Creating a data-informed culture
All full-time, benefits-eligible staff are welcome, regardless of skill level.
Register now for the spring or summer sections.
- Spring Section 1: January 28 – April 8, every other Thursday, 10:00 AM – 12:00 PM
- Spring Section 2: March 8 – May 17, every other Monday, 1:00 PM – 3:00 PM
- Summer Section: June 15 – August 24, every other Tuesday, 10:00 AM – 12:00 PM
More ways to build AI skills
For additional learning opportunities, explore these other AI training resources offered at Harvard:
- Practical GenAI Suite: Build a foundational knowledge of AI and how to use it responsibly in your work.
- PrivSec Foundations of Cybersecurity and Data Privacy: Learn how to approach AI with privacy and security in mind
- LinkedIn Learning Courses: Browse the wide array of offerings from LinkedIn Learning
- Generative AI @ FAS Staff training resources: Attend weekly AI workshops that cover topics from AI basics to AI for presentation to advanced workflows for communications
- AI Basics on LXP: Learn the fundamentals of how AI works, how to access Harvard-approved tools, and how to use AI responsibly in Harvard roles