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 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.
