From Passion to Product: How a LEGO Fan Learns Data Science

9:00 am - 12:00 pm

Objective: Guidance
Audience Level: Student/Early Career
Session Type: Student Opportunity Lab

Are you also a data enthusiast who is passionate and is curious about this amazing data-driven world? Are you also a LEGO fan who wants to mine information from the LEGO database? This session shows a brief but exciting journey of a LEGO fan learning data science through building a data product with Shiny-R and using Text Mining techniques to find insights that support LEGO future designs.


Xiaodan (Sally) Zhang, Software Engineer, Apple