Data Science & AI Code-Alongs

Laurie Voss, VP of Developer Relations at LlamaIndex, guides you through building a deep research AI multi-agent using LlamaIndex.

Jon Bennion, Manager of Applied Machine Learning at The Objective AI, guides you through building a news fact-checker AI agent from scratch.

Suman Debnath, Principal Developer Advocate for Machine Learning at AWS, guides you through the essentials of running machine learning workflows on AWS.

Joshua Lauer, CEO at Lauer Creations, guides you through using GA4 to analyze customer journeys effectively.

Find out how to unlock a new dimension of your analytical power by bringing simple linear regression into SQL!

Paul-Emil Iusztin, Founder of Decoding ML, walks you through the process of building a Second Brain AI assistant from scratch.

Adam Schroeder, a Community Manager at Plotly, guides you through the process of building data apps with Plotly and Dash.

Maarten guides you through advanced Tableau techniques for business reporting. You’ll learn how to analyze and visualize time series data, design dashboards, and understand the key differences between exploratory and explanatory dashboards.

Joe Franklin puts both Deepseek and ChatGPT to the test in a live prompt-along, posing identical challenges in real time and analyzing their responses.

Jayeeta guides you through creating an AI agent tailored for financial report analysis. You’ll learn how to design and architect AI agents, explore their applications in finance, and identify the key data needed for these systems.

Dive into creating a simple Java calculator application, offering an excellent opportunity to learn Java’s essential concepts.

Paul Sabin, Lecturer in Statistics & Data Science, and Senior Sports Analytics Fellow at The Wharton School, will guide you through analyzing home field advantage in Super Bowl games.