Data Science

This collaborative program establishes pathways for data science training through coursework and real-world projects, connecting three main public higher education institutions in California (UCSB, Cal Poly, City College). Students will learn the underlying principles of data science, including data-generating processes and the role of measurement, ethics and privacy, information-processing tools for harnessing the power of big data, and the oral and written communication skills necessary for pursuing effective professional careers in the field. Each year culminates in a year-long capstone course synthesizing and applying previously learned tools and techniques in a large-scale project.

Sponsored by National Science Foundation's Harnessing the Data Revolution Data Science Corps, (HDR DSC Award #1924205)

https://centralcoastdatascience.org/

Affiliated People

Photo of Zexi Huang.
Research interests: 

Graph Data Mining, Representation Learning

Zexi received his B.Eng. in Computer Science and Technology at University of Electronic Science and Technology of China, Chengdu in 2018. He joined Dynamo lab in 2018. His research interests span the analysis of social, informational, and biological networks with machine learning and data mining techniques. 

Research interests: 

Network science, machine learning

4th-year undergraduate CS student. Interested in applying ML methods to graph and network problems. Currently working on the Eigen Path problem, which aims to use neural networks to compactly represent networks flows that are generated with persistent paths.

Research interests: 

Computational Vision, Image Analysis, NLP

Shuyun Tang received his B.S degree in Statistics and Data Science from UCSB in 2021 and he is an avid researcher in machine learning.