Webinar: Data Visualization (DV8)

How can an organization be data rich, yet information poor? One very likely culprit: maintaining data in its original, difficult-to-interpret form.

This course explores the benefits of using simple graphs to describe and attach meaning to data. Data visualization enables the clear and efficient communication of information, serving as an instrument for reasoning, discussion, and decision making at all levels of an organization.

Topics include:

  • How to collect data
  • Differences between continuous and discrete data
  • Types of graphs and their uses
  • How to get more out of the data you’re already collecting

The course includes a hands-on activity of manually building graphs from raw data with pencil and paper alone, teaching participants that graphs do not have to be computer generated. Studies show plotting points by hand creates more ownership and accountability of results, compared with entering them into a computer.

Hours: 8

Learning Outcomes

  • Describe the benefits of visualizing data
  • Assess data collection effectiveness
  • Evaluate which graph type is appropriate for different data
  • Create a graph given a data set
  • Identify unusual graph points or trends for further analysis

Intended Audience

Employees from any level of an organization and any industry who desire to use visual data to improve their business effectiveness


None (mathematical expertise is not essential)    

Credential Opportunities

  • Continuing Education Units (CEUs): TCIE grants 0.7 CEUs upon full attendance and participation of this course.
  • Professional Development Hours (PDHs): TCIE grants 7 PDHs upon full attendance and participation of this course for a fee of $25. 

Course Schedule

8 a.m. to 5 p.m.

March 25, 2020


Instructor Bio: Peter Baumgartner, CSSMBB

As UB TCIE’s Operational Excellence Director, Peter is a resident expert in the Lean Six Sigma methodology and tools who has delivered substantial, validated hard and soft savings across a variety of projects in finance, medical devices, insurance, food services, building materials, publishing, and other service-related industries, as well as manufacturing. He has nearly 10 years of experience with a global company in serving as the lead on a multitude of process improvement project teams that have delivered record performance in yields, cost reduction, quality and safety. With an M.S. in statistics, Peter has an advanced understanding and application of statistics, and develops the potential in others through helping them understand Six Sigma and Lean methodologies.


Another session may be scheduled if there is enough demand. Contact Mariah Glass at mariahgl@buffalo.edu 
if interested.