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Data-driven decisions = better business results. But what if you don’t have a data science team or technical skills? That’s where AI comes in.
In this hands-on webinar, we’ll show you two powerful ways to analyze business data—using ChatGPT and Google Colab—without writing a single line of code, or having any technical background. Whether it’s financial data, customer insights, geographic segmentation, etc. you’ll learn how to turn raw data into actionable business intelligence.
We’ll walk through step-by-step, real-world examples to help you:
✅ Unlock deep insights from data—fast and without coding
✅ Compare AI-powered analysis using ChatGPT vs. Google Colab
✅ Make smarter business decisions that drive real results
No tech skills? No problem. Just bring your curiosity and get ready to transform the way you work with data!
About Leveraging AI
If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
4.8
5757 ratings
Data-driven decisions = better business results. But what if you don’t have a data science team or technical skills? That’s where AI comes in.
In this hands-on webinar, we’ll show you two powerful ways to analyze business data—using ChatGPT and Google Colab—without writing a single line of code, or having any technical background. Whether it’s financial data, customer insights, geographic segmentation, etc. you’ll learn how to turn raw data into actionable business intelligence.
We’ll walk through step-by-step, real-world examples to help you:
✅ Unlock deep insights from data—fast and without coding
✅ Compare AI-powered analysis using ChatGPT vs. Google Colab
✅ Make smarter business decisions that drive real results
No tech skills? No problem. Just bring your curiosity and get ready to transform the way you work with data!
About Leveraging AI
If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
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