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Course Description

Many business decisions involve comparing groups of data for differences. For example, you might examine sales records to see if men and women prefer different product features. Or, you might see whether product recognition survey data relates to subsequent product purchase behavior. The Intermediate Data Analysis course introduces you to the statistical analysis methods behind these group differences and relationships. In addition, you’ll learn how to work with ratings and graphs to create user-friendly reports of statistical results. 

Note: This course is part of a Digital Badge for those who wish to earn a credential. You may register for this individual class, but if If you would like to earn the Digital Badge, register for LRN0059 - Online Self-Paced Data Analysis Digital Badge.

Students need to have Microsoft Excel to complete this certificate. 

Course Outline

Unit 1
Looking for Differences between Groups
-Two separate groups
-Two related groups
-Three or more groups

Unit 2
Looking for Relationships
-Pairs of variables
-Clusters of variables
-Predicting one variable from one or more variables

Unit 3
Looking at Ratings
-Tests of difference using ratings
-Tests of relationship using ratings
 
Unit 4
Looking at How to Report the Results
-Visual displays
-How to draft the narrative
-How to engage your audience
 
About Your Instructor:
Mary I. Dereshiwsky, Ph.D., COI, is a Professor of Educational Leadership and Research at Northern Arizona University in Flagstaff, Arizona. Mary has been developing and teaching online courses in research methods and statistics since 1994. She holds a doctorate in Business Administration from the University of Massachusetts at Amherst.

Learner Outcomes

At the end of this course, you will:
--be able to compare two or more groups for differences
--be able to understand relationships among variables
--be able to work with rating data such as from rating surveys
--be able to interpret visual displays of these differences and relationships
--be able to generate user-friendly, understandable explanations of the results

Notes

Course Objectives
--To provide understanding of two-group comparisons
--To provide understanding of comparing more than two groups
--To provide understanding of working with rating data
--To provide understanding of relationships or associations among variables
--To provide understanding of interpreting visual displays of differences and relationships
--To provide understanding of drafting written explanations of statistical results

Testimonials

“The hands on experience made this class a true success.” -Sean Duffy, Cincinnati, OH
 
“Very helpful in today's professional world. Thank you!” –Amy Rebecca Carpenter, Huntsville, AL
 

Applies Towards the Following Digital Badges

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Enroll Now - Select a section to enroll in
Section Title
Intermediate Data Analysis
Type
Online-Self Paced
Dates
Mar 04, 2024 to Mar 29, 2024
Contact Hours
16.0
Course Fee(s)
Tuition non-credit $195.00 Click here to get more information
Section Notes

Students need to have Microsoft Excel to complete this course.

For further information on this course, please contact dlanpher@harpercollege.edu.

Section Title
Intermediate Data Analysis
Type
Online-Self Paced
Dates
Jul 01, 2024 to Jul 26, 2024
Contact Hours
16.0
Course Fee(s)
Tuition non-credit $195.00 Click here to get more information
Section Notes

Students need to have Microsoft Excel to complete this course.

For further information on this course, please contact dlanpher@harpercollege.edu.

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