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No-Code Data Analysis with Generative AI

Session 2: From Insights to Decisions with AI-Driven Analysis
In the second session of this meetup, we build on the foundations from Session 1 and move from understanding data to making data-driven decisions. The focus shifts from exploration to inference and prediction, demonstrating how generative AI can support more advanced analytical tasks while maintaining a practical, no-code approach.

Participants will learn how to use AI to visualize data, test assumptions, and transform data in preparation for modeling. The session introduces core ideas in hypothesis testing, statistical inference, and machine learning, with an emphasis on asking the right questions and interpreting results responsibly, including when to use classification versus regression. Through hands-on examples, attendees will see how generative AI supports the full workflow from visualization and inference to simple predictive analysis, and how it can act as a capable analytical partner throughout the process.

We hope you join us!

AGENDA

  • 6:00 p.m. – Welcome
  • 6:10 p.m. – Comparing Values on Different Scales
  • 6:25 p.m. – Data Visualization
  • 6:45 p.m. – Inference/Hypothesis Testing
  • 7:10 p.m. – BREAK
  • 7:15 p.m. – Machine Learning and Data Transformation
  • 7:35 p.m. – Prediction: Classification and Regression
  • 7:55 p.m. – Questions/Discussion
  • 8:00 p.m. – End

Related topics

Artificial Intelligence
Machine Learning
Data Analytics
Data Science
Data Science using Python

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