Data Analysis with Minitab – Online

Dates: To be verified.

Duration: This course is run over 4 webinars (two mornings per week over 2 weeks, each of two 3 hours duration, with short breaks). 

Location: Online

Accreditation: Certificate of Attendance

Full Fee: €500

Course code: PACOL

Programme overview

The ability to analyse and control performance is an essential requirement for the effective management of processes that deliver value to customers. Process control involves observation, data collection, tabulation, graphical representation, and both qualitative and quantitative analysis.

This online course aims to give participants a solid grounding in data collection, graphing and basic analysis techniques. Participants will be introduced to the Minitab statistical software application and will learn when and where to use analysis techniques in order to aid decision-making. It will enable participants to develop standards with regards to data collection, analysis, and reporting appropriate for their processes.

The course is run over 4 webinars, each of three hours duration, with short breaks. 12 hours in total. It is facilitated using live webinar, case studies, quiz, Q&A and assignments. Participants are required to spend an additional one hour per module on the assignment work. The assignment work is completed between modules.

Follow on courses:

Design of Experiments (DOE) online course


Who is the course for

The course is designed for a broad range of operations, engineering and quality personnel who need to use data collection & analysis methods on a regular basis in the workplace. Prior to participating, participants should have a basic knowledge of statistics. A foundation webinar can be arranged for those who need a grounding in statistics before the course commences.

Learning outcomes

At the end of the course attendees will:

  • Understand data types and the importance of appropriate data collection methods;
  • Understand the importance of validating measurement systems;
  • Understand how to assess the statistical influence one or more input variables may have on an output variable;
  • Understand when and where each statistical tool is best applied, and
  • Be able to use Minitab as an everyday tool in support of data analysis and control.
  1. Deliverables 
  • Participation in live interactive webinars with case studies and Q&A.
  • A recording of each webinar for future use by participants.
  • Soft copy presentation files, with data sets and case studies, for future use by participants.
  • On completion of all 6 modules in the series, participants will be awarded a certificate of completion.



Course Content


Online programme: 4 modules x 3 hours each
Webinar # Proposed time & Date Content Assignment
1 9:00am Introductions No assignment – data provided for offline work (optional)
3 Hours Tuesday, 12th September, 2023 Data types & data collection, Introduction to Minitab, Worksheets & displays, menu features, importing and saving files, data sets & interactive exercises
Introduction to measurement systems analysis (MSA)
Graphing techniques: run, Pareto, box plot
Layout tool & exporting graphs
2 9:00am Assignment review & quiz No assignment – data provided for offline work (optional)
3 Hours Thursday, 14th September 2023 Introduction to descriptive statistics, measures of location – mean mode & median, data sets & interactive exercises, measures of spread – range, standard deviation & variance
Properties of the normal distribution, Z scores and prediction, other common data distributions
3 9:00am Assignment review No assignment – data provided for offline work (optional)
3 Hours Tuesday, 19th September 2023 Scatter plots & simple linear regression, the regression equation, measuring the strength of the relationship, the residuals patterns
Correlation, causation & prediction, confidence intervals & prediction intervals
4 9:00am Assignment review No assignment – data provided for offline work (optional)
3 Hours Thursday, 21st September 2023 Multivari analysis
Process observation and sampling plans, control vs. capability, calculating control limits, statistical process control for individuals
statistical process control for samples, out-of-control conditions, control plans
Statistical process control for attribute data.
Minitab Assistant, review of course contents and troubleshooting participant process problems.
12 hours Total contact time

Trainer Profile

Bernadette Rushe, BSc Hons (Biochemistry & Maths), Dip SA, CPIM, MSc, ASQ Certified Six Sigma Black Belt

Lean Ireland

Bernie has been involved in the management of supply chain and business process improvement activities for over 30 years. She has designed and delivered hundreds of courses in process improvement and data analysis, from beginner to advanced levels. Bernie lectures in statistics in the Advanced Quality Management masters’ course at the University of Limerick. She holds a first class honours masters’ degree in supply chain management.

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