A Data Science Curriculum for Transportation Professionals

Research Team: Jane Macfarlane (lead), Laura Melendy, and Anthony Patire

UC Campus(es): UC Berkeley

Problem Statement: The transportation sector is undergoing a digital transformation driven by advanced technologies that offer new ways to gather data and to analyze transportation infrastructure using sophisticated algorithms. Many transportation agencies lack the necessary expertise in data science to evaluate new data sources and develop data analytics tailored to their needs.

Project Description: This project is aimed at addressing the workforce development needs of government agencies seeking to harness these technologies. The project will develop a comprehensive, week-long professional development program tailored for government employees who may not have a background in computer science. This curriculum will equip participants with the knowledge and skills needed to apply data science principles effectively to address transportation-related challenges. Additionally, it will provide guidance on evaluating the quality and relevance of real-world, open-source transportation data. Finally, the course will train participants how to utilize data analytics to uncover valuable insights, which can inform subsequent decision-making processes and aid in the development of strategic plans.

Status: In Progress

Budget: $74,967