Data science is more fun when you’re solving real-world problems. In this beginner-friendly session, you’ll use Python—along with AI assistance—to explore Chicago's 311 service request data and uncover insights about how the city responds to its residents. Along the way, you’ll learn how to write code, interpret results, and think like a data scientist.
In this code-along webinar, Aaren Stubberfield, a Senior Data Science Manager at Ingredion, will guide you step by step through analyzing Chicago neighborhood data using common Python packages for data manipulation and spatial analysis. You’ll practice writing high-quality prompts to generate Python code, learn how to review and refine AI-generated responses, and build confidence in understanding what your code is doing.
Key Takeaways:
- Get started using Python for data science with AI-assisted coding.
- Learn how to write effective prompts and critically evaluate AI-generated Python code.
- Explore real-world data using common Python libraries for data manipulation and spatial analytics.
