Data Science & AI Code-Alongs

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.

Adel Nehme, VP of Media at DataCamp, will walk you through how to build a Python report using ChatGPT.

Francesca Donadoni, Curriculum Manager for Artificial Intelligence at DataCamp, guides you through building your own customer feedback analyzer.

Pieter Moors, a Senior Data Scientist at DataCamp, shows you how to build an AI-powered movie night recommendation tool.

Yashas Roy, a Senior Learning Solutions Architect at DataCamp, walks you through creating your own fitness tracker.