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, will guide 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.
Presenter Bio
Maria Eugenia InzaugaratSenior Data Scientist at Firstleaf & Co-founder at Insight Delta
Maria is a data scientist and Entrepreneur. At her current data scientist role, she builds wine recommendation models. Eugenia also founded data science software provider Insight Delta. Previously, she was an AI Consultant at Google. Eugenia is the instructor of two DataCamp courses including "Reshaping Data with pandas".
