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 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.
