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Course Details

Course Details

Course Code: ANLY640 Course ID: 4879 Credit Hours: 3 Level: Graduate

This course covers the elements of research, data collection, sampling, and data management including creating a broad range of quantitative and qualitative data and applying research methodologies while navigating rights and ownership and other ethical components. This course integrates quantitative and qualitative data management to prepare learners to understand how to inventory, store, and backup data. As well as how to create useable data to use, share, ethically reuse data, and covers aspects of digitally preserve data for the future. Students will also learn to create and data management plan. (Prerequisite: BUSN662)

Course Schedule

Registration Dates Course Dates Session Weeks
10/26/20 - 04/02/21 04/05/21 - 05/30/21 Spring 2021 Session B 8 Week session

Current Syllabi

After successfully completing this course, you will be able to

CO – 1: Identify types of Research Methodologies

CO – 2: Identify Components in Data Management processes

CO – 3: Demonstrate how to Inventory, Store, & Backup Data

CO – 4: Illustrate how to find Data Sources and/or Reuse Data

CO – 5: Explain the process of Digitally Preserving Data for future use.

CO – 6: Create Usable Data

CO – 7: Integrate Quantitative and Qualitative Concepts of Data Analysis into an Organization

CO – 8: Develop a Data Management Plan

Reading Assignments: Reading assignments are required but not graded.

Supplemental Readings: Required but not graded.

Forum Assignments: Discussion Board assignments will be graded on timely posts of main discussion & interactive posts that are substantive in content, and include at least one academic reference. All posts should have correct grammar, analysis, and relevance to topic of discussion. See specific participation policy posted to W1 Forum.

Homework Assignments: Students will be given homework assignments that will be submitted in a Word document with APA format written summaries and use of Excel Spreadsheets. Note that Excel work details are required and must be submitted. The grading criteria for the word document will be a minimum requested page number, APA format, grammar, mechanics, and content analysis including interpretation of Excel or software outputs. The criteria for the Excel spreadsheet is to create a spreadsheet with outputs, tables, charts, or lists to show your work details and calculations.

Exams/Quizzes: There will be some quizzes in addition to a Final Exam in the last week of class.

Required Course Textbooks

Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program (The Morgan Kaufmann Series on Business Intelligence)1st Edition by John Ladley (Author).

Web Sites: In addition to the required course texts, the following public domain web sites are useful. Please abide by the university’s academic honesty policy when using Internet sources as well. Note web site addresses are subject to change.

Site Name

WebSite URL/Address

American Psychological Association (APA) Style Website

Purdue Online Writing Lab

Regression Examples

Business Analytics Techniques

Book Title:Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program, 1st ed. - eBook available in the APUS Online Library
Publication Info:Elsevier
Author:John Ladley
Unit Cost:$51.35

Previous Syllabi

Not current for future courses.