Physics & Computer Science

CP321: Data Visualization

This course will provide participants an overview on how to visualize data to present large data sets in a meaningful way. Rigorous policy analysis must be based on evidence, but once you have gathered the evidence, it can be overwhelming to figure out how to present data in a meaningful way. This course offers instruction how to distill and interpret large amounts of information to highlight the key information. Learn to unlock the power of data through effective data visualization. Explains how to select the appropriate data sets for analysis, transform the data sets into usable formats, and verify that the sets are error-free. Review how to choose the right model for the specific type of analysis project, how to analyze the model, and present the results for decision making. Show how to solve numerous business problems by applying various tools and techniques. Data visualization and visual data mining tools, and real-world success stories using visual data mining.

3 lecture hours

Credit: 0.50

Prerequisite: CP213

Section Information
Section Days Times Room Instructor
Lecture A MWF - BA110 Dr. Jisahu Zhao