Minitab™ Software Training (MST8)

This course navigates participants through the statistical tools of Minitab’s most recent version so that they may comfortably manipulate data and solve problems. They learn how to import data from other software and database systems, and skillfully manage and graphically display it. The course covers the use and interpretation of Minitab’s graphs – including histograms, box plots, bar charts, interval plots, scatter and time series plots – using transactional and manufacturing examples.

The course includes:

  • Data entry and manipulation (spread sheet layout, stacking/unstacking, data types)
  • Exploratory graphical tools (scatter plots, histograms, box plots)
  • Basic statistical analysis (means & variance testing, distribution identification, fitted line plots)
  • Quality tools (Pareto Charts, Cause & Effect Diagrams, and Capability Analysis)

The course is conducted in an interactive setting and features hands-on demonstrations. Students need to bring a laptop computer loaded with Minitab software.

Hours: 8

Learning Outcomes

  • Strengthen data analysis and, subsequently, quality improvement

Intended Audience

Engineers, Lean facilitators, continuous improvement managers and anyone who is required to use Minitab software


Basic computer literacy

Credential Opportunity

Anyone who completes the course and submits “evidence” of learning (a written response to TCIE-generated questions) earns a digital badge. The badge is an icon, which contains a repository of information, that can be uploaded to a social media account or embedded in an electronic resume. 

Course Schedule

8 a.m. to 5 p.m.

October 8, 2019

UB Baird Research Park

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.




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