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Course Description

Advanced Data Analysis teaches how to perform valuable inquiries for your business or organization. You acquire skills necessary to communicate these results through graphs and text so that your fellow employees will understand the implications of decisions they make. Take the guesswork out of important decisions and make them based on statistically significant information. Whether your business is home-based or a large company, this class will take you to the next level where important decision making is concerned. 

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
Developing a Survey
-Purposes of surveys
-Fundamentals of Survey Research
-Ethical Considerations
-Likert Scales

Unit 2
Comparing Means
-Chi-Square
-Statistical Significance
-Communicating Results Graphically and Textually
-Practical Problems involving Means Comparisons

Unit 3
Finding Differences between Groups
-ANOVA
-Post Hoc Comparisons
-Communicating Results Graphically and Textually
-Practical Problems Involving ANOVA

Unit 4
Individual Research Inquiries
-Developing Research Questions
-Setting Up Study
-Communicating Results Graphically and Textually
 
About Your Instructor

 

Jeff Kritzer has many years of experience as a Special Education Resource Teacher and has assessed thousands of students during his long career. He has studied applied statistics at the graduate level and has attended the Summer Program in Quantitative Research at the University of Michigan. He has a Ph.D in Education and is currently a Professor in Teacher Education at a leading Midwestern University.

Learner Outcomes

Course Outcomes
 
At the end of this course, you will:
  • be able to develop a useful survey.
  • be able to perform means comparisons.
  • be able to perform analyses of variance.
  • be able to perform post hoc comparisons.
  • be able to explain statistical results graphically and textually.
 

Notes

Course Objectives
  • To provide background knowledge of survey research
  • To provide understanding into the concept of means comparison
  • To provide understanding of statistical significance
  • To address how variance is analyzed
  • To provide insight into how statistical results are communicated

Testimonials

“This course really helped me realize my potential in Data Analysis. It is fantastic and I enjoyed every minute of it.” –Markel Thomas, Columbus, GA

Applies Towards the Following Digital Badges

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Enroll Now - Select a section to enroll in
Section Title
Advanced Data Analysis
Type
Online-Self Paced
Dates
Aug 05, 2024 to Aug 30, 2024
Course Fee(s)
Tuition non-credit $195.00 Click here to get more information
Section Notes

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

Students need to have Microsoft Excel to complete this course.

 

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