In this introductory workshop, review what Claude Artifacts are, where to find them, and how to build one — no coding experience required. First, walk through a couple of basic terms for context. Then, dive into what an artifact can actually do for a business workflow: turn a document into a working prototype, generate a guided report through a simple wizard, and, just as important, learn where Claude’s judgment ends and yours needs to begin.…Read More
In this part of the R workshop series, explore how to create dynamic data visualizations to better communicate clear insights from complex data and highlight key takeaways. Learn how to go from a static plot to a customizable interactive data visualization for your next big project. …Read More
In this part of the R workshop series, learn how to turn messy, unstructured text into an insightful, high-level overview using basic text analysis skills in R. You’ll walk through an hands-on example scenario from start to finish and learn about steps to explore and clean text data, how to conduct a few types of text-based analysis, and key details about interpreting and evaluating results of text analysis along the way.…Read More
In this installment of the R workshop series, follow dashboard principles to create an interactive data dashboard in R using Quarto (Quarto, 2025). Data dashboards are useful in many different areas for overviewing complex data and displaying key trends and metrics.…Read More
In this introductory workshop – the first in the R series – review some capabilities of R that you may not know about to uplevel your next project. First, review some basic terms in R and RStudio for some context. Then, next dive into three tasks you can do directly using R that might surprise you: scrape openly-accessible data, create sophisticated, reproducible reports, and build slide decks.…Read More
In this final installment of our series on data analysis with ChatGPT, we’ll turn our Python analysis into a fully interactive web-based data dashboard using Streamlit. Streamlit is an open-source Python framework that makes it easy to build web-based data apps — no front-end experience required. …Read More
In this second part of our series on data analysis with ChatGPT, Brandon Krakowsky, Director of Data Science & Research at the Wharton AI and Analytics Initiative, explores how to create clear, insightful data visualizations. You’ll learn how to generate charts, refine them with filters, highlight trends, and extract insights — all within ChatGPT.…Read More
In this guide, Brandon Krakowsky, Director of Data Science & Research at the Wharton AI and Analytics Initiative (WAIAI) walks you through how to use ChatGPT to perform exploratory data analysis (EDA) on a retail dataset. You’ll learn how to upload CSV files, preview your data, summarize it, and even export analysis-ready code — all from within ChatGPT.…Read More
The inaugural Penn AI Governance Workshop will bring together researchers from across the university working on responsible, trustworthy, fair, and safe artificial intelligence. Topics will include data provenance, explainability, impact assessments, regulation, policy, governance, and ethics.…Read More
