Minitab trainers are seasoned statisticians with years of experience implementing quality improvement projects.
Minneapolis, Minn. (PRWEB) April 18, 2012
In a highly competitive economy, keeping your skills sharp isn’t just an advantage—it’s a necessity. Quality improvement practitioners in the Minneapolis area will have the opportunity to refine their skills by attending public training sessions being offered in June.
Minitab Inc., the leading provider of software for quality improvement and statistics education, will offer its Service Quality training series June 4–7, 2012, at Euler Training Center, Parkdale Plaza, 1660 South Highway 100, Suite 101, St. Louis Park, Minnesota 55416.
The series consists of four day-long courses:
- Day 1: Service Quality - Introduction to Minitab
- Day 2: Service Quality - Basic Statistics
- Day 3: Service Quality - Statistical Quality Analysis
- Day 4: Service Quality - Advanced
The courses are tailored for professionals working in financial services, healthcare and other areas of the service industry. The course materials include examples with metrics such as time, defect rates and revenue data.
The full four days of training costs $1700; registration for individual sessions is also available. People who register for two or more days of training and pay before May 5, 2012 receive a 10% early-bird discount. In addition, two or more people from the same organization receive a 5% discount if they register before June 4. Registration is available online at http://www.minitab.com/en-US/training/instructor-led/training-details.aspx?eventId=972.
All of Minitab’s instructor-led training includes plenty of time to practice what you learn under the guidance of expert trainers with years of experience implementing quality improvement projects. Trainers make complex concepts easy to grasp, and are highly regarded for their engaging style and personal attention.
Lou Johnson, Minitab technical training specialist and certified Six Sigma Black Belt, will be the instructor for the Minneapolis sessions. Johnson brings 24 years of process engineering and Six Sigma experience to his role as a Minitab Trainer.
Throughout his career, he has trained engineers, project leaders and technicians from companies including Arrow and Xerox. “Helping others use data to make good business decisions is one of the things I enjoy most about teaching Minitab,” Johnson says.
The skills covered in the four day-long courses are detailed below.
Service Quality - Introduction to Minitab
Participants learn to create, manipulate and restructure data, and how to create and interpret a wide variety of graphs and numerical measures useful for quality improvement initiatives. Topics include Pareto Charts, Time Series Plots, Individual Value Plots, Bar Charts, Histograms, Boxplots, Dotplots, Scatterplots, Tables, Measures of Location and Variation and ODBC.
Service Quality - Basic Statistics
Participants learn to match appropriate statistical tools to their own applications and how to correctly interpret statistical output to quickly reveal problems or show evidence of improvement. Participants explore critical features in their processes through statistical modeling tools that help to uncover and describe relationships between variables. Topics include t-Tests, Proportion Tests, Tests for Equal Variance, Power and Sample Size, Tables and Chi-Square Analysis, Correlation, Simple Linear Regression and ANOVA.
Service Quality - Statistical Quality Analysis
Participants learn the basic fundamentals of statistical process control and how these quality tools can provide the necessary evidence to improve and control processes. Topics include Attribute Agreement Analysis for Binary, Nominal and Ordinal Data, Kappa and Kendall’s Coefficients, Gage R&R, Variables and Attribute Control Charts, Capability Analysis for Normal, Non-normal, and Attribute Data.
Service Quality - Advanced
Participants learn to discover and describe data related to the effect and impact of time, and how to forecast future process behavior. Participants utilize graphical and quantitative approaches to describe similarities and differences between the effects of various factors on quality characteristics. Topics include GLM, Binary Logistic Regression, Factorial Designs, Time Series Tools including Exponential Smoothing, Trend Analysis and Decomposition, and Multiple Linear Regression, including Best Subsets and Stepwise Regression.
Minitab Inc. is one of the world’s leading developers of statistical and process improvement software. Thousands of distinguished companies use Minitab software, including Toshiba, DuPont, Boeing, Royal Bank of Scotland, Nestlé and Pfizer. Minitab products are backed by outstanding services, including training, e-learning opportunities and free technical support.
Minitab Inc., headquartered in State College, Pa., operates offices in the United Kingdom, France and Australia and has additional representatives throughout the world.