Big Data Analytics credit: 3 or

4 Hours

Examines current topics and techniques for efficiently and effectively managing and analyzing large-scale data. The course focuses on applications of advanced statistical analysis in data science for massive data sets. Topics include current best practices and technologies for implementation such as parallel and distributed processing, distributed storage techniques, and modern computational frameworks such as cloud computing. 3 undergraduate hours. 4 graduate hours. Prerequisite: ( STAT 440 or STAT 447 ) and ( STAT 420 or STAT 425 ); or permission of the instructor.