Course 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.

Assumes basic high school mathematics. No calculus or programming experience required.

No upcoming classes were found.

Previously offered classes

The next offering of this course is undetermined at this time.