Certificate in Data Analysis


ID : 30410   

« back to classes page
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.

COURSE ONE: 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.
 
Unit 1: Understanding Data
  • Identify sources of Data
  • Discover methods of Collecting Data
  • Examine Quantitative Data
  • Examine Qualitative Data

Unit 2: Processing Data
  • Introduction to Statistics
  • Determine the Appropriate Statistical Method for use in various scenarios
  • Identify methods of Sorting and Filtering Data
  • Categorize Data

Unit 3: Analyzing Data
  • Discuss Probability and the Normal Distribution
  • Perform Trend Analysis
  • Perform Breakeven Analysis
  • Understand basic Statistical Modelling
     
Unit 4: Interpreting and Presenting Results
  • Design Professional-looking Tables
  • Generate Effective Charts
  • Create Pivot Tables and Pivot Charts
  • Compile a Dashboard for Management

COURSE TWO: 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.

Unit 1: Looking for Differences between Groups
  • Two separate groups
  • Two related groups
  • Three or more groups
     
Unit 2: Looking for Relationships
  • Pairs of variables
  • Clusters of variables
  • Predicting one variable from one or more variables
     
Unit 3: Looking at Ratings
  • Tests of difference using ratings
  • Tests of relationship using ratings
     
Unit 4: Looking at How to Report the Results
  • Visual displays
  • How to draft the narrative
  • How to engage your audience

COURSE THREE: 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 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.

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

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 reading
  • 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.

Completing the Course
Completion of class participation requirements is required to earn the Certificate of Completion, CEU and/or PD Hours at the end of the course. 
 

Add To Cart » Send to Friend »

Class Details

Session(s)
Online 24/7

Location
NA - Online

CEUs : 4.8

Tuition:  $495.00

Registration Closes On
Friday, November 27, 2026 @ 11:59 PM

Schedule Information

Date(s) Class Days Times Location Instructor(s)
9/8/2026 - 11/27/2026 Online 24/7 12:00 AM - 12:00 AM N/A - Online

Featured Classes

Recommended Classes