Data Science Using ChatGPT

0.5-1 Course Unit

Large Language Models (LLMs) such as ChatGPT are reshaping how statisticians approach data analysis: enabling a shift from manual coding and computation to strategic thinking in statistical modeling, interpretation, and decision-making. This course develops advanced statistical skills by integrating AI tools to enhance statistical methodologies. It offers an intermediate-level exploration of modern statistical techniques, including generative classification, time series modeling, Bayesian inference, and survival analysis. Using structured prompt engineering techniques, ChatGPT will serve primarily as a computational and programming assistant. Students will focus on deepening their conceptual understanding and applying methods in practical contexts. The course emphasizes shifting attention from coding mechanics to statistical insight and real-world application through case studies. A mixed assessment strategy will be used - some evaluations incorporating ChatGPT and others in traditional paper-based formats to ensure students build both AI-assisted and independent competencies for modern statistical practice. Mutually Exclusive: STAT 4730 Prerequisite: STAT 6130 OR STAT 6210 0.5-1 Course Unit