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Course Details

Course Details

Course Code: ANLY460 Course ID: 4871 Credit Hours: 3 Level: Undergraduate

This course is designed to provide an understanding of the basics of applied analytics based on principals starting from descriptive statistics, probability, distributions, and hypothesis testing; where sums, counts, frequencies, measures, and probabilities of collected data and occurrences, past or current, are used effectively to support reactive or corrective decisions either on real time or for the future. This course covers using Excel add-in for data analysis as a tool to create, manipulate, and report descriptive analytics outcomes for decision-making.

Course Schedule

Registration Dates Course Dates Session Weeks
01/25/21 - 07/02/21 07/05/21 - 08/29/21 Summer 2021 Session B 8 Week session

Current Syllabi

After successfully completing this course, you will be able to:

CO-1: Identify various Types of Statistics for use in Analytics.

CO-2: Application of knowledge requirements for Analytics with Excel.

CO-3: Analyze how to compare outcomes of decisions based on data display & visual analysis.

CO-4: Integrate the use of normal distributions with probability

CO-5: Analyze the implications on the business decision-making process when given a set of descriptive statistics.

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

Web Site URL/Address

American Psychological Association (APA) Style Website

Purdue Online Writing Lab

YouTube Video on Formatting an APA Style Paper

Regression Examples

YouTube Videos on Microsoft Excel for Beginners

Business Analytics Techniques

Book Title:Various resources from the APUS Library & the Open Web are used. Please visit to locate the course eReserve.*

Previous Syllabi

Not current for future courses.