Data Science W209

Data Visualization

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. 

Visualization enhances exploratory analysis as well as efficient communication of data results. This course focuses on the design of visual representations of data in order to discover patterns, answer questions, convey findings, drive decisions, and provide persuasive evidence. The goal is to give you the practical knowledge you need to create effective tools for both exploring and explaining your data. Exercises throughout the course provide a hands-on experience using relevant programming libraries and software tools to apply research and design concepts learned.

After completing this course, you should be able to

  • Constructively critique existing visualizations, identifying issues of integrity as well as excellence.
  • Analyze data using exploratory visualization. 

  • Design aesthetically pleasing static and interactive visualizations with perceptually appropriate forms and encodings.
  • Improve your own work through usability testing and iteration, with attention to context.
  • Build commonly requested types of visualizations as well as more advanced visualizations using ground-up customization.
  • Create useful, performant visualizations from real-world data sources, including large and complex datasets.

  • Select appropriate tools for building visualizations, and gain skills to evaluate new tools.


We recommend that students either have experience with HTML, CSS, and JavaScript or have confidence in their ability to learn new programming languages quickly. If python is the only programming language you know, you will probably benefit from learning the basics of web development with JavaScript in advance.

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

Prerequisites

DATASCI 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:

January 14, 2019