DS 810 (01) - Enterprise Level Analytics

Enterprise Analytics

Durham   Paul College of Business&Econ :: Decision Sciences
Credits: 3.0
Term: Spring 2021 - E-term IV (03/22/2021 - 05/13/2021)
Grade Mode: Letter Grading
Class Size:   24  
CRN: 56161
This course is designed to be a capstone experience with emphasis on the integration of materials covered in prior courses. In addition, the course provides students with the necessary knowledge and skills to manage vast quantities of business data. By the end of the course students will understand how big data systems are developed and used to support the operations and decision-making functions within a business organization. The course begins with a framework for understanding big data systems are developed and used. It continues with an emphasis on "experiential learning" where students build big data systems using contemporary technologies such as Hadoop, MapReduce, Spark etc. Finally, students learn how to analyze large-scale data sets and reveal valuable business insights. As part of the capstone experience, students develop these systems in groups, make several presentations and discuss cases during the semester. Prereq: DS 801, DS 804, and DS 807.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: STAFF

Times & Locations

Start Date End Date Days Time Location
3/22/2021 5/13/2021 T 5:40pm - 9:15pm PBLANE 216