Are data science teachers falling behind—or being forced to rethink everything?

In this episode of The Data Nerd Podcast, Nisar Ahmed sits down with Saad Rais, AnalytIQ corporate trainer, to unpack how AI is reshaping data science education in real time. What used to be a clear path—learn programming, master algorithms, build models—is now being challenged by tools that can generate code, build dashboards, and even complete entire workflows.

Saad shares what he's seeing firsthand in both the classroom and corporate training, from adult learners trying to reskill to organizations struggling to adopt AI effectively. The conversation gets into the real tension: what skills still matter when AI can do most of the execution?

This isn't about dropping fundamentals. It's about deciding what's worth teaching when the tools have changed.

Tune in to learn:

• Why data science curriculum needs a rethink in the age of AI
• The difference between generative AI and agentic AI—and why it matters
• Whether coding still has value (and where it fits now)
• How "vibe coding" is shifting the role of analysts and data professionals
• Why understanding fundamentals still matters when working with AI
• The human skills—judgment, communication, accountability—that are becoming more important

If you're learning data—or teaching it—this episode will make you question how you approach both.

Saad Rais on LinkedIn: https://www.linkedin.com/in/saadrais/

AnalytIQ training: https://www.analytiqtraining.com/

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