Discover how AI tools transform data analytics workflows in this hands-on exploration of AI-enhanced R and Python development. Learn where Ai solutions such as Claude, ChatGPT, Gemini, can help, along wtih AI tools such as NotebookLM. Each offer ways to accelerate exploratory data analysis, generate documentation, and debug code error messaging.

The session will demonstrate how a multi-language analytics stack can bring value, such as using Python for data engineering and R for stakeholder communication. Examples wiull feature libraries and packages as well as modern AI prompt engineering. Perfect for data scientists, analysts, and developers looking to establish new techniques into their existing workflows.