Certificate in Data Analysis

Program Courses
Advanced Data Analysis

Intermediate Data Analysis

Introduction to Data Analysis

Other Online Certificates and Courses

 Register Online

Call us at:
441-236-9000 ext. 4117 OR 4119

Send email to:
apace@college.bm

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 the 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.

One month course, Jeff Kritzer, instructor.

Agenda

 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

About online learning

Online learning is a fun, enjoyable and very productive way to learn. Millions of people are learning online each year. You will engage with the instructor and other participants. You will get to know your instructor and other participants. You may make friends.  It’s easy. It’s fun. 

How the Course Works

It is easy to participate in your online course. After you register, you will be given a web address to go to get into your online classroom.  You will have a password and use your email address and password to gain access.

Once inside the online classroom, here’s what you can expect.

Participate when you want

You can participate any time of day or evening. The online classroom is open 24 hours a day, 7 days a week.
There are no live real-time requirements or meetings. You decide when you participate.
For the best learning, participants should log into the course on 2-3 different days of the week.

What you will do

For each Unit, you will:

• Access the online readings
• Listen to the audio presentation for the Unit and view the slides
• Take a self-quiz to see how much you have learned
• Engage in written online discussion with your instructor and other participants

For best learning, you should make one or more comments at 2-3 different times each day.

The content (readings, audio lectures, slides) and self-quizzes are accessible for the entire course, so you can work ahead, or go back and review again, at your convenience.

Discussion

The Discussion for each Unit lasts one week. All comments are made in writing and can be made at any time of the day or night.

Your instructor will log into the Discussion area at least once a day and answer questions, make comments, and respond to comments by you and the other participants.

We encourage you to make 2-3 comments each day to maximize your learning and enjoyment of the course.

It’s easy. It’s fun.

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:

Course Objectives

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

Course Outcomes

• 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