Absolute Beginners Analysis of Chicago City Service Data
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.
Description
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.
Presenter Bio
Voted by his employer Ingredion Inc. as 2019 Professional of the Year in an organization of over 11,000 employees, Aaren Stubberfield is a Data Science professional and online course author. With a diverse background, including Sales, R&D, Procurement, and Supply Chain, Aaren now holds the title of Manager of Data Governance and AI. He is responsible for playing a pivotal role in Ingredion’s strategy around data governance and leading a team of developers to deliver AI and machine learning projects. After receiving a master’s in Predictive Analytics from DePaul in 2015, Aaren used his experience and expertise to develop courses in “Supply Chain Analytics” and “Joining Data with pandas” on DataCamp, with over 14,000 students have participated in these courses.