BUAD 460 - Big Data Analytics

Credits: (3)
Prerequisite(s): BUAD 231 or the equivalent, or consent of the instructor.
This course is designed to equip students with the kinds of analytical skills used in the era of Big Data to reveal the hidden patterns in, and relationships among, data elements being created by internal transaction systems, social media and the Internet of Things. Students will use the open source programming language R for the development of Data Mining (and other statistically-based) analytical solutions. No prior experience with programming is required.
Note: Statistics equivalents defined as BUAD 231, ECON 307, KINE 394, MATH 106, MATH 31, PSYC 301, or SOCL 353.