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Only Code If You Want To: Data Science with DataLab (Part 2)

Find out how AI assistance can boost your productivity in a more traditional notebook setting.
Joe Franklin
Joe Franklin

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DataCamp Workspace is now DataLab!

Some people love to code, and others really don't. In order to be productive as a data team, you need a tool that works for coders and non-coders alike.

In this two-part series of (no-)code-alongs, you'll see how DataLab can be used to perform data science workflows whether you want to write the code yourself or you want AI to generate it for you. You'll see how DataLab's automatic prompt engineering makes it easier-than-ChatGPT to generate valid data science code, and how to use this to generate data reports and tell data stories that you can share with your colleagues.

In this second session, you'll see how AI assistance can boost your productivity in a more traditional notebook setting.

Key Takeaways:

  • Learn how to perform code and no-code data science workflows using DataLab.
  • Learn how to connect DataLab with a variety of data sources
  • Understand what data is shared with OpenAI on how to keep your data private from OpenAI.
  • Learn how to collaborate and tell data stories.

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