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

Data Analysis is quickly becoming one of the most sought-after skills in the workplace.  Companies have vast amounts of data, but it is rare to have someone with the ability to analyze that data to see trends and make predictions. Add a whole new skill set to your portfolio, and make a big difference in the success of your organization by acquiring data analysis skills. 
   Begin with getting a basic understanding of how to analyze data in a business setting. Then learn how many of your business decisions involve comparing groups for differences. You will know the statistics behind these group differences and relationships. Finally you will find out how 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. Whether your business is home based or a large company, this certificate will take you to the next level where important decision-making is concerned.

Individual Courses

Introduction to Data Analysis
Data Analysis is quickly becoming one of the most sought-after skills in the workplace.  Companies have vast amounts of data, but it is rare to have someone with the ability to analyze that data to see trends and make predictions.  This course will give you a basic understanding of how to analyze data in a business setting.  Businesses look for candidates with an understanding of how to analyze the data they have been collecting; this course will help you start on that journey.

John Rutledge, instructor
 
Intermediate Data Analysis
Many of your business decisions involve comparing groups for differences. For example, would men and women prefer different product features? In addition, you may look at relationships between variables. Does product recognition relate to subsequent product purchase? This Intermediate Data Analysis course will introduce you to the statistics behind these group differences and relationships. In addition, you’ll learn how to work with ratings, graphs and user-friendly reports of statistical results.

Mary Dereshiwsky, instructor
 
Advanced Data Analysis
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

Next offering(s):

Self Study: Advanced Data Analysis
-Next session coming soon-

Self Study: Intermediate Data Analysis
-Next session coming soon-

Self Study: Introduction to Data Analysis
-Next session coming soon-

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$495.00 USD
$495 USD

Avg. hours 48, 4.8 CEUs/ILUs


About Your Instructors


With over 25 years’ experience in the IT field, John Rutledge has a BA in Psychology and a Diploma in Computer Programming as well as having received numerous certifications and awards.  John was the Manager of a Technical Support Desk for a multinational for several years.  Prior to that, he held roles as Project Lead on a national software implementation project, Systems Analyst and Programmer Analyst.  Currently the owner of an IT Consultancy firm, John works regularly with businesses of all sizes to assist them in understanding and managing their data. 


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.


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.
Completion Requirements