- WHO? Free to all Harvard affiliates
- WHAT? GenAIfor Exploratory Data Analysis
- WHERE? Sign up for your zoom link
- WHEN? Wednesday, August 20 (from 1 – 4 p.m.)
- Pre-requisite: None
- Reach us at hbctraining@hsph.harvard.edu with any questions.
GenAI for Exploratory Data Analysis: The rapid advancement of Large Language Models (LLMs)offers powerful tools for enhancing exploratory data science workflows. This workshop, “GenAI for Exploratory Data Analysis,” aims to demonstrate the practical applications of LLMs in the context of data exploration, cleaning, visualization, and analysis. As data science evolves, professionals face the challenge of managing and interpreting increasingly complex datasets. LLMs, with their natural language processing capabilities, can streamline this process by offering intuitive interactions, automating repetitive tasks, and generating actionable insights from raw data.
Participants will learn how to leverage LLMs to assist in data pre-processing, such as identifying outliers, handling missing values, and generating summary statistics. Additionally, the workshop will cover how LLMs can be used to automate the generation of visualizations, assist in model selection, and help in generating textual explanations of complex data patterns. Key techniques, including prompt engineering and integrating LLMs into data pipelines, will be discussed to help attendees maximize the potential of these models.
By the end of the session, attendees will have a deeper understanding of how to integrate LLMs into their data science toolkit, speeding up the exploration phase and empowering them to make more informed, data-driven decisions, and becoming acquainted with the AI resources offered by Harvard IT. This workshop is designed for data scientists, analysts, and anyone interested in utilizing AI to enhance their exploratory data science workflows.
Setup instructions will be provided to those who register. All workshops are hands-on and require you to have a computer available.