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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 Start Month Session Weeks
04/26/2022 - 09/30/2022 10/03/2022 - 11/27/2022 October Fall 2022 Session B 8 Week session
07/25/2022 - 12/30/2022 01/02/2023 - 02/26/2023 January Winter 2023 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.

NameGrade %
Discussions 35.00 %
Week 1: Discussion 5.00 %
Week 2: Discussion 5.00 %
Week 3: Discussion 5.00 %
Week 4: Discussion 5.00 %
Week 5: Probability 5.00 %
Week 6: Poisson Probability Distribution 5.00 %
Week 7: Continuous Probability Distributions 5.00 %
Assignments 45.00 %
Assignment 1 6.43 %
Assignment 2 6.43 %
Assignment 3 6.43 %
Assignment 4 6.43 %
Assignment 5 6.43 %
Assignment 6 6.43 %
Assignment 7 6.43 %
Exam 20.00 %
Final Exam Week 8 20.00 %

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.

Book Title:Various resources from the APUS Library & the Open Web are used. Please visit http://apus.libguides.com/er.php to locate the course eReserve.
ISBN:ERESERVE NOTE
 

Previous Syllabi

Not current for future courses.