Using GenAI for data analysis
In case you haven’t heard the news, on Tuesday, September 17th, at 8:30 a.m. PT/11:30 a.m. ET/9:00 p.m. IST, Coursera CEO Jeff Maggioncalda delivered a live keynote address. Tune in to see the data that’s shaping Coursera’s approach to learning, view exclusive product demos from the Courserians building them, and hear from learners like you. […] The post Using GenAI for data analysis appeared first on Coursera Blog.
In case you haven’t heard the news, on Tuesday, September 17th, at 8:30 a.m. PT/11:30 a.m. ET/9:00 p.m. IST, Coursera CEO Jeff Maggioncalda delivered a live keynote address. Tune in to see the data that’s shaping Coursera’s approach to learning, view exclusive product demos from the Courserians building them, and hear from learners like you. View the live keynote here.
And now, let’s turn our attention to this week’s (very much related) topic: how data analysts use generative AI to streamline their workflows and maximize their impact. In previous issues, we’ve looked at practical AI skills and prompting techniques that could improve your productivity. Today, we’re building on those explorations by examining some concrete ways data analysts are leveraging this transformative technology to actually make their work easier.
First, though, it’s critical that we make a brief but important public service announcement about generative AI and data security. Here it goes:
