Foundations of Data Science


4 units

Course Description

Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.

Also listed as Computer Science C8 and Statistics C8.


This course may be taken on its own, but students are encouraged to take it concurrently with a data science connector course (numbered 88 in a range of departments).
Last updated: February 15, 2019