Podcast
How We Use AI as Data Analysts (Data Career Podcast ep 76)
Data Career Podcast with Luke Barousse · creators.spotify.com
Two practitioners compare the tasks worth delegating to AI versus the ones worth learning yourself.
The question it answers
Read with it
- The Wharton professor's original field report on why an AI that writes its own code beats memorizing formulas. oneusefulthing.org Article What AI can do with a toolbox: Getting started with Code Interpreter Ethan Mollick
- Shows AI restructuring messy PDF data and running models unprompted, the exact grunt work founders dread. x.com Thread Ethan Mollick on Code Interpreter's statistical common sense Ethan Mollick
- Mollick's line that things that took weeks in his PhD were done in seconds, with fewer errors than a human analyst. fortune.com Article Code Interpreter might be the most useful application of AI so far Fortune
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Video
How AI Completely Reshaped This Data Analyst's Job (Luke Barousse)
Ken's Nearest Neighbors Podcast
- The balanced case for how much SQL a non-analyst actually needs now that AI writes queries. mavenanalytics.io Article Do You Still Need to Learn SQL in the Age of AI? Maven Analytics
- A veteran SQL author argues the skill shifts from writing queries to judging them. sqlpatterns.com Article Should you still learn SQL (in the age of LLMs)? Ergest Xheblati (Data Wise)
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