DA405: Data Visualization and Communication

About This Course

      

The human brain processes visuals 60,000 times faster than it processes text, so it makes sense to represent data visually, especially when trying to make a business case. Data visualization is a form of storytelling that provides an effective way to draw conclusions and share insights, allowing people to express big, complex ideas in simple ways. This interactive course is designed to help participants learn the methods, tools, and techniques to best understand and present complex data so that they can persuasively share results and influence decisions.

  

Course Snapshot


Format
 
The course is delivered remotely, with a blend of virtual live sessions and self-paced activities.

Frequency
 
2 times per year (Winter and Summer)

Length

One week with a 15-hour workload. Please check the schedule for live session dates and times.


Cost
 
$649

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 theories and concepts of visualizing data and different data types.
  • Communicate effective messages with data and visualizations.
  • Effectively use tools like Microsoft Excel, Microsoft Power BI, Tableau, and MicroStrategy Desktop.
  • Employ best practices in making presentations with data.

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.