Info C8

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.

Prerequisites

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).

Course History

Fall 2020

Instructor(s): David Wagner, Swupnil K Sahai

Summer 2020

Instructor(s): Yumeng Wang
Instructor(s): Sophia T Tan
Instructor(s): Kanika Ahluwalia
Instructor(s): Margaret Misyutina
Instructor(s): Meghan H Wang

Spring 2018

Instructor(s): Anindita Adhikari

Fall 2016

Instructor(s): Staff

Spring 2016

Instructor(s): John DeNero

Last updated:

February 15, 2019