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

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.
Wednesday May 29, 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 second session, you'll see how AI assistance can boost your productivity in a more traditional notebook setting.

Presenter Bio

Joe Franklin Headshot
Joe FranklinHead of Data Literacy and Essentials at DataCamp

Joe received a Master of Science in Predictive Analytics from Northwestern University that he paired with a passion for education to become a stand-out expert in the field of Data Literacy. He is passionate about unlocking the data potential within everyone to succeed in the evolving digital world.

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