Join our webinars and live training sessions to learn how to build a data-driven organization. Even if you can’t attend live, we encourage you to register to receive a link to the on-demand recording.
For previously recorded webinars, view our on-demand webinars.
Brent Dykes, Chief Data Storyteller at Analytics Hero, will share practical techniques for creating visualizations that communicate clearly and persuasively. You’ll learn core principles of data storytelling, explore how to tailor visuals for different audiences, and discover best practices for turning complex analyses into compelling narratives.
Lynn Heidmann, VP of Product Marketing at DataCamp, and Marco Valvassori, Data Analyst at DataCamp, will provide a practical overview of Data Connector 2.0 and demonstrate how it can elevate your learning analytics strategy.
Aaren Stubberfield, a Senior Data Science Manager at Ingredion, will guide you step by step through analyzing Chicago neighborhood data using common Python packages for data manipulation and spatial analysis.
Maria Eugenia Inzaugarat, a Senior Data Scientist at Firstleaf, will guide you step by step through analyzing patient insurance metrics and behaviour, and training a clustering model using common Python analytics libraries.
Experts share what it really takes to land a data science role today. You’ll learn which technical and soft skills matter most, how to build a portfolio that stands out, and what to expect from the interview process. The panel will also discuss how AI is reshaping the field—and how to future-proof your career in response.
Nate Amidon, President at Form100 Consulting, will explore how leaders can drive successful AI automation initiatives. You’ll learn how to align AI strategy with organizational priorities, choose the right technology stack for specific use cases, and redesign processes to maximize impact.
Joe Franklin, Learning Solutions Architect at DataCamp, will show you how to use Claude Cowork to build a competitor research bot for real productivity gains. You’ll learn practical automation principles, when to keep a human in the loop, and how to design a workflow that reliably gathers, organizes, and summarizes competitor information in a way your team can actually use.
Casius Sibanda Lee, AI Developer Advocate at Oracle, will show you how to build a memory-powered research agent using Claude Code and Oracle AI Database as the persistent memory core.
Calen Bedford, Security Architect at Insight Global, will walk through how to build an HR-focused AI agent in Claude Code using security-first design patterns. You’ll learn key principles for designing agents that handle sensitive data, including permissioning, tool boundaries, and the safe handling of inputs and outputs. By the end of the webinar, you’ll leave with a practical blueprint for building agents that can operate responsibly in HR and other high-risk domains.
Raj Bains, CEO at Prophecy, and Nagul Meera Mahankali, VP of Software Engineering at JPMorgan Chase, will discuss what it takes to successfully introduce tools like Claude Code into enterprise environments.
Tom Farnschläder, Data Science Editor at DataCamp, will show you how to design and build Claude Skills tailored to data tasks. You’ll create skills for exploratory data analysis and feature engineering, then apply them to a real soccer dataset to generate insights and build analysis-ready features. This session is ideal for analysts and data scientists who want practical, reusable AI workflows that improve quality—not just speed.
Lyndsay Girard, the Manager of Performance Analytics at Halton Healthcare, will guide you through building a healthcare dashboard using Power BI and Copilot. You’ll work through a real-world healthcare case study, learn how to design clear and meaningful visuals, and explore how AI assistance can accelerate dashboard creation and analysis.