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

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.
Tuesday May 28, 11AM ET
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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 the first session, you'll see how to use DataLab's chat interface to perform data analysis using a completely conversational workflow. In the second session, you'll see how AI assistance can boost your productivity in a more traditional notebook setting.

Presenter Bio

Filip Schouwenaars Headshot
Filip SchouwenaarsVP of Engineering DataCamp DataLab at DataCamp

Filip is the passionate developer behind several of DataCamp's most popular Python, SQL, and R courses. Currently, Filip leads the development of DataLab, DataCamp's AI enabled data notebook. Filip holds degrees in Electrical Engineering and Artificial Intelligence.

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