The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.
Prerequisites: Pre or Corequisite: BADM 5180. (RG 5609)
Grading Basis: Graded
Introduction to key issues and concepts in data analytics. Begins by delineating the differences between standard statistical analysis, including model estimation and evaluation, and the data driven approach of data analytics. A good deal of emphasis is placed on critical issues underlying almost all data analytics projects, including data quality (accuracy, objectivity, and reliability), missing values, outliers, and data standardization. Introduction to basic analytics techniques and processes.
Last Refreshed: 19-SEP-19 05.20.16.268841 AM
|Term||Class Number||Campus||Instruction Mode||Instructor||Section||Session||Schedule||Enrollment||Location||Grading Basis||Notes|
|1198 11857 1 001||Fall 2019||11857||Hartford||In Person||Stallaert, Jan||001||Reg||Tu 1:00pm‑4:00pm