Data Science W209

Data Visualization and Communication

3 units

Course Description

Communicating clearly and effectively about the patterns we find in data is a key skill for a successful data scientist. This course focuses on the design and implementation of complementary visual and verbal representations of patterns and analyses in order to convey findings, answer questions, drive decisions, and provide persuasive evidence supported by data. Assignments will give hands-on experience designing data graphics and visualizations, and reporting findings in prose.

Course must be taken for a letter grade to fulfill degree requirements.

Prerequisites

W203. Students must take W205 concurrently or prior to W209. If taken concurrently, students may not drop W205 and remain in W209. MIDS students only.

Last updated:

October 7, 2016