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.
Adel Nehme, VP of Media at DataCamp, will walk you through how to build a Python report using ChatGPT. Throughout the code-along, he’ll outline best practices when building reports using ChatGPT (GPT-4o), build a full-fledged report analyzing DataCamp media content, and cap off with additional tips and tricks for being effective with Python using ChatGPT.
Adel Nehme, VP of Media at DataCamp, will walk you through how to foster organization-wide AI literacy. We will delve into the what, why, and how of building AI literacy and explore seven best practices, sourced from DataCamp for Business customers, that you can implement to ensure your teams are AI-ready and capable of driving innovation responsibly.
Joshua Ruiz, a Data Literacy Manager at Surescripts, will discuss how Surescripts implemented a data literacy program and identified the skills needed across their organization.
Luca Bianchi, the Field CTO at Neosperience, will guide you through the key AWS tools for machine learning. You’ll learn how to get started with machine learning in SageMaker, explore AI capabilities in Bedrock, and gain insights into leveraging AWS’s ecosystem to streamline your projects.
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. You’ll learn how data is used to study American football, apply data manipulation and visualization techniques, and assess the impact of home field advantage on game performance. Whether you’re a seasoned data scientist or a football fan with a passion for analytics, this session will provide a unique perspective on the intersection of sports and data.
Led by Jim White, a seasoned software developer, this code-along session will guide you step-by-step in building a calculator in Java. Along the way, you'll learn core programming concepts and pickup on some useful debugging tips. By the end of the session, you’ll have not only built your first Java application but also acquired the skills to confidently explore more complex projects.
Eryn Peters, Co-founder at AI Maturity Index, will share a comprehensive approach to evaluating your organization’s data and AI maturity. You’ll learn how to assess your current capabilities, understand the interplay between technology, people, and processes, and develop a strategy for advancing your maturity level.
Jayeeta Putatunda, a Lead Data Scientist & Director at Fitch Group, will guide 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.
Shannon Lindsay, a Senior Program Manager for Power BI at Microsoft, and Stephanie Bruno, a Business Intelligence Architect at iLink Digital, will guide you through the process of building interactive dashboards using Power BI.
In this first webinar of the “AI in the Enterprise” series, Lexi Reese, CEO & Co-founder at Lanai, Krunal Patel, Chief Product Officer & Co-Founder at Bordo AI, and Giuliano Giacaglia, Director of Engineering at Trancend, will explore what makes an AI strategy successful. You’ll learn about the critical roles involved in AI strategy, the common challenges and pitfalls, and how to align AI strategy with your organization’s data strategy.
In the second webinar of the “AI in the Enterprise” series, Damien Herrick, Director of Commercial Cyber Artificial Intelligence & Analytics at Booz Allen Hamilton, and Ita Petrika-Lindroos, a Talent Development Specialist at F-Secure Corporation, will discuss strategies for developing AI talent. You’ll learn which AI skills and roles are in demand, how to attract the right talent, and how to build AI literacy across your organization. He will also share insights on upskilling and reskilling employees at scale to meet the demands of an AI-driven future.
In the third and final webinar of the “AI in the Enterprise” series, Aishwarya Naresh Reganti, Applied Science Tech Lead for Generative AI at AWS, Supreet Kaur, Data and AI Solutions Architect at Microsoft, and Luke Jinu Kim, CEO & Founder at Liner, will discuss how to navigate the journey from AI prototypes to production-ready applications. They’ll outline the key challenges enterprises face in building generative AI products and how to overcome them, best practices for scaling AI, navigating tradeoffs, and measuring the success of AI products in production.
Gilberto Hernandez, Lead Developer Advocate at Snowflake, will guide you through the process of leveraging Snowflake to design efficient data pipelines and handle large-scale datasets with ease.
Kim Wienzierl, Director of Master Data Management at Newell Brands, and Lauren Maffeo, Assistant Director of Product at Maryland Department of Labor, will discuss how data leaders can use data governance to strengthen their organization’s data culture.
Ryan Garnett, Head of Data Academy at Directline Group, will share his expertise on designing and running successful data academies. You’ll learn best practices for setting up programs that engage and empower employees, addressing common challenges like resistance to change or skill gaps, and proven strategies for scaling data upskilling to large populations within your organization.
Emily Hayward, Transformation Team Manager at Financial Conduct Authority, will share a step-by-step guide to creating a successful data academy. You’ll learn how to define the scope and audience for your academy, design custom learning programs to suit different learner groups, and implement strategies to keep participants engaged. Emily will also explore how to measure ROI and celebrate learner achievements, ensuring your academy delivers value across the organization.
Maarten Van den Broeck, a Senior Content Developer at DataCamp, will guide you through advanced Tableau techniques for business reporting. You’ll learn how to analyze and visualize time series data, design dashboards tailored to business goals, and understand the key differences between exploratory and explanatory dashboards.
Angie Rudduck, Senior Content Developer for Data & AI at Microsoft, will explore how analytics teams can benefit from using Microsoft Fabric. You’ll learn how to transform your data workflows to take full advantage of its capabilities and gain insights into implementing and adopting Microsoft Fabric across your organization.
Adam Schroeder, a Community Manager at Plotly, will guide you through the process of building data apps with Plotly and Dash. You’ll learn how to create data visualizations with Python, design interactive dashboards, and implement best practices for impactful dashboard creation.