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Code Along ↗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
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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.
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