CS 1380 + ORIE 1380 + STSCI 1380
Data Science For All
Spring 2018

Lecture: MWF 10:10-11:00 am in Kimball B11, starting January 24, 2018.

Recitation: Please attend the recitation section in which you are enrolled according to Student Center (not Scheduler or CoursePad). Students who would prefer to use a computer lab machine rather than bring their own laptop should register for DIS 207 or 208. Your partner for the three course projects must be from your registered recitation section, so coordinate your registration accordingly. Recitations meet starting January 24, 2018.

Description: This course provides an introduction to data science. Given data from economics, medicine, biology, or physics, collected from internet denizens, survey respondents, or wireless sensors, how can one understand the phenomenon generating the data, make predictions, and improve decisions? We focus on building skills in inferential thinking and computational thinking, guided by the practical questions we seek to answer. 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. We will also consider social issues in data analysis such as privacy and design.