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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)
|Registration Dates||Course Dates||Session||Weeks|
|04/27/20 - 10/02/20||10/05/20 - 11/29/20||Fall 2020 Session B||8 Week session|
|07/27/20 - 01/01/21||01/04/21 - 02/28/21||Winter 2021 Session B||8 Week session|
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.
American Psychological Association (APA) Style Website
Purdue Online Writing Lab
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|
Not current for future courses.