#382 What DataCamp's Learner Data Says About Learning | Pieter Moors, Lead Data Scientist at DataCamp
Notes de l’épisode
Career goals in data have shifted quickly. Data scientist was long the default target, but AI engineer has appeared from almost nowhere, and companies are moving training toward AI literacy, agents, and prompt engineering. Certifications are becoming a common way to prove these skills, while many people wonder whether learning to code still matters when AI can write it for them. What are people choosing to learn right now? Which fundamentals still hold up? How do you prepare for a certification exam? And is the fear of AI replacing technical roles showing up in what people actually study?
Pieter Moors is the Lead Data Scientist at DataCamp, where he works with the company's learner data to understand how people learn and how that behavior changes over time. He is part of DataCamp's new Data Insights program, which shares findings from that data with the world every couple of weeks.
In the episode, Richie and Pieter explore what DataCamp's own learner data reveals, when enterprise and individual learners study, how the World Cup disrupted study time, why short regular sessions and streaks build habits, how AI tutors relate to certification pass rates, the shift from data scientist to AI engineer, and much more.
Links Mentioned in the Show:
- Connect with Pieter
- DataCamp AI Tutor
- DataCamp Certifications
- Introduction to Python course
- DataCamp AI Assistant
- DataCamp mobile app
- DataCamp subreddit
- AI-Native Course: Intro to AI for Work
- Related Episode: The Best Moments from RADAR 11x: AI, Jobs, Agents and Skills
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