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Analyzing Top Runner Performance from A to Z with AI using Workspace


One of the most fascinating use cases of Generative AI is its ability to understand tasks in human language and translate them into code. This enables self-serve analytics for everyone, even those without coding backgrounds, and boosts productivity for data experts, helping them code faster with less effort.

Join Filip Schouwenaars, VP of Engineering at DataCamp Workspace to see a real-time example of how AI can enable faster time to insight on data analysis tasks. He will be using the DataCamp Workspace AI Assistant to analyze fitness data and break down commonalities between top runners. You will be able to code along in your own Workspace notebook as well.

Key takeaways

  • Learn how to use AI to build a data analytics project from A to Z
  • Explore tactics for crafting compelling data stories with AI
  • Discover the benefits of DataCamp Workspace AI assistant for any skill level
Start Code Along
Filip Schouwenaars Headshot
Filip Schouwenaars

Head of DataCamp Workspace

Data science educator and enthusiast, leading the development of DataCamp Workspace
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