跳至主要内容

Only Code If You Want To: Data Science with DataLab (Part 1)

Find out how to use DataLab's chat interface to perform data analysis using a completely conversational workflow.
Filip Schouwenaars
Filip Schouwenaars

创建您的免费账户

实践并学习路径你的进步。

使用 Google 继续继续即表示您接受我们的 使用条款,我们的 隐私政策 ,并且您的数据存储在美国。

与我们一起编写代码,平台:

跟写代码 ↗

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 the first session, you'll see how to use DataLab's chat interface to perform data analysis using a completely conversational workflow. 

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 and how to keep your data private from OpenAI.
  • Learn how to collaborate and tell data stories.

Resources

主题

相关

Introducing datalab

博客

Introducing DataLab