Master’s in Data Science for MIT MicroMaster's Graduates
Course Descriptions and Schedule
Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
MSDS 455-DL : Data Visualization
Description
This course begins with a review of human perception and
cognition, drawing upon psychological studies of perceptual
accuracy and preferences. The course reviews principles of graphic
design, what makes for a good graph, and why some data
visualizations effectively present information and others do not.
It considers visualization as a component of systems for data
science and presents examples of exploratory data analysis,
visualizing time, networks, and maps. It reviews methods for static
and interactive graphics and introduces tools for building
web-browser-based presentations. This is a project-based course
with programming assignments.
Prerequisites: MSDS 400-DL Math for Modelers and MSDS 401-DL
Applied Statistics with R.