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Online self-study courses are designed for self-directed learning, allowing participants to begin and end classes at their convenience.

After taking this Advanced course in Data Analysis, you will be able to perform inquiries that will be useful to your business or organization, and have the skill necessary to communicate these results through graphs and text that your fellow employees will understand.  Take the guesswork out of important company decisions and make decisions 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.

Jeff Kritzer, instructor.


 Unit 1
 Developing a Survey
-Purposes of surveys
-Fundamentals of Survey Research
-Ethical Considerations
-Likert Scales

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

Unit 3
 Finding Differences between Groups
-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
Next offering(s):
-Next session coming soon-

$195 USD

Ave. hours 16; 1.6 CEUs/ILUs

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.

What some students say:

“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

Directional ArrowsCourse 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

Puzzle PiecesCourse 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.
Completion Requirements