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Data Analysis Certificate (online)  

Data analysis is one of the most sought-after skills in the workplace. Companies have vast amounts of data, but it’s rare when someone can analyze that data to see trends and make predictions. In this online course, you will learn to analyze data in a business setting; discover how many of your business decisions involve comparing groups for differences; the statistics behind these group differences and relationships; how to perform inquiries; and how to communicate these results through graphs and text that your fellow employees will understand. 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.


The Data Analysis Certificate is offered through our partner, Learning Resources Network, Inc. (aka UGotClass). It is composed of three, month-long courses:

1. Introduction to Data Analysis - 1 month

Understanding Data

  • Identify sources of data
  • Discover methods of collecting data
  • Examine quantitative data
  • Examine qualitative data

Processing Data

  • Introduction to statistics
  • Determine the appropriate statistical method for use in various scenarios
  • Identify methods of sorting and filtering data
  • Categorize data

Analyzing Data

  • Discuss probability and the normal distribution
  • Perform trend analysis
  • Perform breakeven analysis
  • Understand basic statistical modelling

Interpreting and Presenting Results

  • Design professional-looking tables
  • Generate effective charts
  • Create Pivot Tables and Pivot Charts
  • Compile a dashboard for management

2. Intermediate Data Analysis - 1 month

Looking for Differences between Groups

  • Two separate groups
  • Two related groups
  • Three or more groups

Looking for Relationships

  • Pairs of variables
  • Clusters of variables
  • Predicting one variable from one or more variables

Looking at Ratings

  • Tests of difference using ratings
  • Tests of relationship using ratings

Looking at How to Report the Results

  • Visual displays
  • How to draft the narrative
  • How to engage your audience

3. Advanced Data Analysis - 1 month

Developing a Survey

  • Purposes of surveys
  • Fundamentals of survey research
  • Ethical considerations
  • Likert scales

Comparing Means

  • Chi-Square
  • Statistical significance
  • Communicating results graphically and textually
  • Practical problems involving means comparisons

Finding Differences between Groups

  • Post hoc comparisons
  • Communicating results graphically and textually
  • Practical problems involving ANOVA

Individual Research Inquiries

  • Developing research questions
  • Setting up study
  • Communicating results graphically and textually

An invitation into the online classroom will be emailed to you the Wednesday before the class begins. The subject of the email invitation will be "Lern – Classroom Invitation". Please click to accept the invitation, and from there you will create a password and will be able to access the classroom. If you haven't received an invitation by the Thursday before the course begins, please forward your confirmation email to info@ugotclass.org, and a staff member will resend your invitation.

Once inside the online classroom, here's what you can expect:

Participate When You Want

The online classroom is open 24 hours a day, seven days a week. There are no live real-time requirements or meetings. For the best learning, participants should log into the course on 2-3 different days of the week.

What You Will Do

Each course is composed of several units. 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

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.


The discussion for each unit lasts one week. All comments are made in writing and can be made at any time, 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.


1. Make at least one comment every week in the discussion.

  • The comment should show thought and be more substantive than just “Yes, I agree.” There is no length required for comments.
  • Replies to other comments and responses to other participants count as comments (in most cases your instructor values replies and responses as comments).
  • Questions and online discussion facilitative comments also count as long as there is some thought to them.

2. Take the self-quiz at the end of every unit.

  • You must score 80% or higher.
  • You may retake any self-quiz as often as you need to get to the 80% score.

Completion Timeline

  • The requirements should be completed by the last day of the course.
  • Individual instructors may extend the deadline upon request.
  • If, for any reason, you are not able to complete the requirements during the course, UGotClass will provide you with their Course Transfer Option. The course Transfer Option allows you to retake any or all of the same UGotClass online course at a future offering within the next 12 months at no extra cost.

    A pdf Certificate of Completion is issued by Learning Resources Network, Inc. and will list Green River College as its partner organization.


    Once the program has started, please direct all questions to info@ugotclass.org


Data Analysis Certificate (online)
ID: Y409 4/2/2018 - 6/29/2018
Fee: $495.00 Instructor: Online Course
Please note: The email address provided during the registration process will be utilized to send instructions for accessing the course.



Data Analysis Certificate (online)
ID: Y906 6/4/2018 - 8/31/2018
Fee: $495.00 Instructor: Course Online
Please note: The email address provided during the registration process will be utilized to send instructions for accessing the course.