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STAT 714. Statistical Big Data Visualization. 3 Credits.

Principles of Data Visualization: charts, tables, line, density curve, and effective presentations using R, SAS, Matlab, and Python. Graphical Methods and Interpretation for Specialized Data Types. Advanced Data Visualization R packages and Software, Dynamic and Interactive Plot, Network Visualization: Twitter API Visualization of Spatial Data: Google Map API. Prereq: STAT 711. Restrictions: This course is designed for the certificate degree in Big Data Applied Statistics Analysis and it may not be used toward any other statistics degree.


The Department of Statistics offers programs leading to a Doctor of Philosophy (Ph.D.) in Statistics, a Master of Science (M.S.) degree in Applied Statistics, and certificates in Statistics (for non-majors) and Big Data Applied Statistics Analysis. The program is flexible enough create a plan based on individual prior experience and in accord with professional goals. During the first year of the program, master's and doctoral students are strongly encouraged to meet with each faculty member to discuss possible research topics. The student should select a supervisory committee by the end of the first year. Graduate certificates in Statistics for non-majors and Big Data Applied Statistics Analysis are also available.