CS 251 Data Analysis and Visualization , Spring 2016

This course prepares students to apply computational approaches to data analysis and visualization to real information from a variety of disciplines and applications. Data visualization is the interactive visual exploration of information using 2-D and 3-D graphics using techniques that highlight patterns and relationships. Data analysis incorporates data management, data transformations, statistical analysis, data mining, and machine learning. Through programming projects, students will gain hands-on experience with the fundamentals of data analysis and visualization using data from active research projects at Colby and other institutions.