In this second session of the beginner data science series, you’ll use Python—with AI assistance—to analyze a real-world Patient Segmentation Dataset and uncover meaningful insights. This session builds on your foundational skills and introduces slightly more complex dataset, group comparisons, and predictive modeling techniques.
In this hands-on code-along webinar, Maria Eugenia Inzaugarat, a Senior Data Scientist at Firstleaf, guides you step by step through analyzing patient insurance metrics and behaviour, and training a clustering model using common Python analytics libraries. You’ll practice writing clear, high-quality prompts to generate Python code, learn how to interpret and validate AI-generated responses, and strengthen your ability to read and understand real analytical workflows.
Key Takeaways:
- Continue building your Python data science skills using AI-assisted coding.
- Learn how to write strong prompts and critically evaluate AI-generated code.
- Analyze a real-world healthcare dataset using common Python analytics packages.
