함께 코드 따라하기
코드 따라하기 ↗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
무료 계정 만들기
실습 문제하고 트랙하세요.
Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.관련
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How To Use DataLab AI-Powered Notebooks for Every Data Skill Level
Find out how DataLab and its AI Assistant can boost your data science workflow - regardless of your skill level.
Alena Guzharina · 6 min
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From Data to Insights: Get There Faster with the DataLab AI Assistant
DataCamp today announced the launch of the AI Assistant within its modern data science notebook, DataLab. The AI-powered features are now available on both free and paid DataLab plans.
DataCamp Team · 4 min
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10 Ways to Speed Up Your Analysis With the DataLab AI Assistant
Learn how to leverage the Generate feature inside DataLab to speed up your workflow!
Justin Saddlemyer · 11 min
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:
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