Data Evaluation (RAPP 1017)
Organizations often have access to multiple forms of data that can help to inform decisions. This course is designed to assist students in critically evaluating and appropriately integrating evidence from different forms of primary and secondary sources (e.g., customer databases, industry statistics, big data, social media analytics, academic and trade journal articles, and in-depth interviews), and reporting the results of these analyses in formats such as data quality assessments, outcome metrics, benchmark scorecards, infographics, and executive briefings.
Credits:
| Credit Hours | Contact Hours | Lecture Hours | Lab Hours | Other |
|---|---|---|---|---|
3.000 |
42.000 |
|
|
|
[+] Prerequisites:
[+] Corequisites and Concurrent Prerequisite(s):
None
[+] Equivalents:
[-] Restrictions:
Must be enrolled in one of the following Levels:
Post Graduate
Must be enrolled in one of the following Majors:
(RAPP) Research Analyst