Chuyển đến nội dung chính

Would You Eat Bug Nachos? AI-Assisted Data Storytelling

Richie shows you how to explore a real consumer taste-test dataset comparing cricket-flour and corn-flour nachos using Python and AI coding assistance.
Richie Cotton
Richie Cotton

Tạo tài khoản miễn phí của bạn

Luyện tập và Lộ trình tiến trình của bạn.

Tiếp tục với GoogleBằng cách tiếp tục, bạn chấp nhận Điều khoản sử dụng, Chính sách quyền riêng tư và việc dữ liệu của bạn được lưu trữ tại Hoa Kỳ.

Lập trình cùng chúng tôi trên

Lập trình cùng ↗
Xem slide ↗

Session Resources

Great data analysis means nothing if nobody acts on it. The gap between a solid analysis and a story that actually changes minds is where most data projects stall, and it's a skill that's just as valuable as writing the code itself. AI tools now make it faster than ever to explore a dataset, but turning that exploration into a story different audiences will actually listen to still takes practice.

In this code-along webinar, Richie Cotton, Senior Data Evangelist at DataCamp, will show you how to explore a real consumer taste-test dataset comparing cricket-flour and corn-flour nachos using Python and AI coding assistance. You'll visualize taste ratings, build a simple model to see who likes crickets the most, then reshape those same findings into different stories for a sustainability advocate, a food-industry exec, and a consumer marketer. Afterwards, you'll have a repeatable process for turning any analysis into a story that lands with your audience.

Key Takeaways

  • Learn how to analyze a real dataset with Python and AI assistance, from raw taste scores to key insights.
  • Build a simple machine learning model to predict who likes cricket-flour nachos the most.
  • Discover how to reshape one analysis into three different stories for sustainability, industry, and marketing audiences.
 

Chủ đề

Data Storytelling

Liên quan

bảng tra cứu nhanh

Python with AI Cheat Sheet

Xem thêm →