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Applying AI for Data Analysis and Visualization Online

Examine how AI technologies can assist in every stage of quantitative and mixed-methods research, from organizing and cleaning datasets to identifying statistical patterns and generating meaningful visualizations. This session shows how generalist AI models can serve as an accessible starting point for data analysis and visualization, revealing relationships and surfacing emerging trends through conversational interaction. More advanced, premium tools like Julius AI go further, providing richer analytical depth and polished, interactive visualizations that strengthen interpretation and communication of results. Attendees will learn how to incorporate AI-assisted analysis responsibly, ensuring transparency and reproducibility across the research process. By Evan Freuhauf and Shawna Durtschi, USF Libraries.

Date:
Tuesday, October 20, 2026
Time:
11:00am - 12:00pm
Time Zone:
Eastern Time - US & Canada (change)
Location:
Online/Virtual
Online:
This is an online event. Event URL will be sent via registration email.
Categories:
  AI & Machine Learning     Quantitative & Statistical Analysis  
Registration is required.

Registration is required. There are 95 seats available.

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