Minitab trainers are seasoned statisticians with years of experience implementing quality improvement projects.
Louisville, KY (PRWEB) August 06, 2012
In a highly competitive economy, keeping your skills sharp isn’t just an advantage—it’s a necessity. Quality improvement practitioners in the Louisville area will have the opportunity to refine their skills by attending public training sessions offered by Minitab Inc. in September.
Minitab, the leading provider of software for quality improvement and statistics education, will offer its Manufacturing Quality training series Sept. 17-21 at ExecuTrain, 9300 Shelbyville Road, Suite 505, Louisville, KY 40222.
The series consists of five day-long courses:
- Day 1: Introduction to Minitab
- Day 2: Basic Statistics
- Day 3: Statistical Quality Analysis
- Day 4: Factorial Designs
- Day 5: DOE in Practice
The courses are tailored for professionals working in manufacturing companies, and course materials include examples with metrics such as diameters, pressure and hardness.
The full five days of training costs $2125; registration for individual sessions is also available. People who register for two or more days of training and pay before August 18, 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 September 17. Registration is available online at http://www.minitab.com/training/instructor-led/training-details.aspx?eventId=994.
Minitab trainers are seasoned statisticians with years of experience implementing quality improvement projects. They make complex concepts easy to grasp, and are highly regarded for their engaging style and personal attention.
Scott Kowalski, Minitab technical training specialist, will be the instructor for the Louisville sessions. Kowalski earned his B.S., M.S. and Ph.D. in statistics from the University of Florida, where his goal in earning his doctorate was to develop theory for problems being encountered by quality practitioners.
After completing his education, Kowalski worked for one year at Stetson University and for one year at the University of Central Florida, where he served as the associate director of the university's Statistics Institute. He is a member of the Editorial Review Board for the Journal of Quality Technology and Quality Engineering, and has published articles in both journals, as well as in Quality Reliability Engineering International, Quality Progress and Technometrics.
Kowalski joined Minitab to help professionals appreciate and harness the power of statistics in using data to solve problems, no matter what industry they’re in.
The skills covered in the five day-long courses are detailed below.
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 Charts, Histograms, Boxplots, Dotplots, Scatterplots, Tables, Measures of Location and Variation, and ODBC.
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. Strong emphasis is placed on making good business decisions based on the practical application of statistics. Topics include t-Tests, Proportion Tests, Tests for Equal Variance, Power and Sample Size, Correlation, Simple Linear and Multiple Regression, ANOVA and GLM.
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 manufacturing processes. Topics include Gage R&R, Destructive Testing, Gage Linearity and Bias, Attribute Agreement, Variables and Attribute Control Charts, Capability Analysis for Normal, Non-normal and Attribute Data.
Participants learn to generate full and fractional factorial designed experiments, then interpret and communicate results to improve products and processes, reduce process variation and expedite development projects. Topics include Design of Factorial Experiments, Normal Effects Plot and Pareto of Effects, Power and Sample Size, Main Effect, Interaction and Cube Plots, Center Points, Overlaid Contour Plots and Multiple Response Optimization.
DOE in Practice
Participants learn to handle common DOE scenarios where classic factorial or response surface design and analysis techniques are neither appropriate nor possible, and develop techniques for experimental situations such as missing data and hard-to-change factors. Participants explore opportunities to minimize costs or variability while simultaneously optimizing an important process characteristic. Topics include ANCOVA, Unbalanced Designs, Split-Plot Designs, Multiple Response Optimization and Binary Logistic 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.