Center for Executive and Professional Education

Data Analytics Certificate Program

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About Data Analytics

It is difficult to imagine today’s world without big data. More information is available than ever before, and understanding how to properly collect, evaluate, draw conclusions from, and apply data is critical for making informed business decisions. Professionals in all industries are increasingly using large-scale data sets to make organizational improvements such as increased efficiency and effectiveness.

CEPE’s Data Analytics Certificate program provides participants with a foundation in this rapidly evolving field, with exposure to new concepts, techniques, and nomenclature. Instructors will share practical knowledge and tools that participants can immediately apply in the workplace to help achieve improved outcomes and positively impact their organizations. Participants will develop technical data analytics skills and learn how to make ethical, data-driven decisions and communicate effectively using data.

Certificate Snapshot


Format
 

Courses are delivered remotely, with a blend of virtual live sessions and self-paced activities


Frequency
 

 2 times per year (Winter and Summer)

Length

Five, 1 week long classes (workload for each class is 15 hours) 


Cost
 

Full certificate cost: $3,645

Available discounts
Bundle discount: 15% off multiple course registration
Early bird discount: 15% off when you register 30 days before a course start

Click here for Course Schedule and Registration

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CEPE aspires to allow students up to 3 years to complete a certificate program; however, CEPE's program offerings can fluctuate due to market/community demand. Therefore, we reserve the right to cancel or revise a program at any time. This means that CEPE does not guarantee the completion of any certificate, so if certificate completion is a student's goal, we encourage completion as quickly as possible when courses are available.
 

The hands-on classroom experiences were excellent. While the classes that focused on the theory and history of data analytics were good, the hands-on classroom experiences were what I remember most. We spent a few hours using basic coding and several more hours experimenting with different data visualization programs.

- Sally Boyer

Who Should Attend

This certificate program is intended for individuals who have little formal education in data analysis but now work with data and need to become conversant in all aspects. The program is also appropriate for those who are new to data and are looking for a foundation in this growing field.

What You’ll Learn

Upon completion of this program, students will have gained the knowledge to:

  • Define and understand the components of the data life cycle and big data;
  • Understand the basics of database management and design concepts;
  • Describe data in a meaningful way with charts and statistics;
  • Become familiar with the wide range of applications of data mining and common data mining processes;
  • Communicate effective messages with data and visualizations.

5 Required Certificate Courses

Courses may be taken individually and in any order unless otherwise noted. If pursuing the certificate, all courses in the certificate program must be completed within three years. A recommended sequence is below.

  • DA401: Fundamentals of Data Analytics
    • This practical course provides participants with an overview of data analytics as well as all aspects of the analytics cycle, including warehousing, mining, analysis, and visualization.
  • DA402: Data Warehousing
    • Learn how to gather, prepare, and save good data in order to build and develop a sound warehouse that will provide a strong foundation for future data analysis.
  • DA400: Intro to Quantitative Methods
    • This introductory course provides students with the basic language of statistics and equips them with the necessary tools to interpret and perform basic statistical tasks.
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Required Courses Continued

  • DA403: Data Mining
    • Understand how automated systems can extract the patterns concealed within massive data sets in order to forecast consumer behavior and help organizations make more informed choices.
  • DA405: Data Visualization and Communication
    • This interactive course is designed to help participants learn the methods, tools, and techniques needed to best understand and present complex data in simple and effective ways.
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Meet the Instructors

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