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No-Code Data Analysis with Generative AI

Join us for a two-session meetup that introduces a practical, no-code approach to data analysis using generative AI. Participants will learn how to move from raw data to insights without writing code by using AI to perform data preparation, exploration, visualization, transformation, hypothesis testing, feature engineering, and basic prediction. Through guided, hands-on examples, attendees will see how generative AI can support the entire analytical workflow, helping them ask better questions, compare values across scales, uncover patterns, and draw meaningful conclusions.

The sessions are designed for new learners, analysts, and professionals who want to build data analysis skills quickly, without relying on traditional programming.

The second session will take place the following Thursday.

šŸ”¹ Session 1: Data Preparation and Exploration
• Descriptive Statistics
• Data Preparation
• Data Analysis with Generative AI
• Prompting Essentials for Data Analysis

šŸ”¹ Session 2: Hypothesis Testing and Machine Learning
• Data Visualization
• Inference/Hypothesis Testing
• Data Transformation
• Feature Engineering
• Prediction: Classification vs. Regression

We hope you join us!

AGENDA

  • 6:00 p.m. – Welcome
  • 6:10 p.m. – Review Descriptive Statistics
  • 6:30 p.m. – Data Preparation
  • 6:40 p.m. – Data Analysis with Generative AI - Demo
  • 6:55 p.m. – BREAK
  • 7:00 p.m. – Prompting Essentials for Data Analysis
  • 7:15 p.m. – Exercise 1: Data Preparation
  • 7:25 p.m. – Exercise 2: Data Exploration
  • 7:40 p.m. – Exercise 3: Analytical Inquiry
  • 7:55 p.m. – Questions/Discussion
  • 8:00 p.m. – End
Artificial Intelligence
Machine Learning
Data Analytics
Data Science
Data Science using Python

AI summary

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Two-session meetup teaching no-code data analysis with generative AI for beginners and professionals to derive insights from raw data without coding.

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