DA401: Fundamentals of Data Analytics

About This Course


Data analytics is the process of retrieving information from large quantities of raw data and converting it to useful, actionable knowledge. 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. Instructors will introduce key vocabulary and concepts designed to help participants communicate with data more effectively within their organizations.


Course Snapshot

Course delivered in a virtual format with live instructor & student interaction

2-3 times per year (Fall, Winter, & Spring)


5 evenings, 6:00pm - 9:00pm


Course Schedule         Register Now

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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...

What You’ll Learn

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

  • Understand the four types of data analytics and the importance of big data.
  • Understand the components of the data life cycle.
  • Appreciate ethical concerns regarding data and data analytics both today and into the future.
  • Apply data analytics concepts in real-world contexts.

Additional Information

A laptop with Microsoft Excel is required.

The Learning Environment

This course is delivered in a virtual format and combines lectures, discussions, and group activities. 

Other Courses in this Certificate Track

Enrolling in the full certificate program allows for more comprehensive learning in regard to data analytics.

Courses may be taken individually and in any order unless otherwise noted. Five courses are required to complete the certificate. If pursuing the certificate, all courses in the certificate program must be completed within three years. Visit the program page for a recommended sequence.