Refine your quality improvement skills by attending Minitab Inc.’s public training sessions in São Paulo starting January 28, 2013

Professionals will have the opportunity to learn from an industry-seasoned Minitab trainer, who will emphasize techniques for improving quality in manufacturing.

Minitab Inc., the leading provider of software for quality improvement and statistics education, will offer its Manufacturing Quality training series January 28-31, 2013, at Vista Paulista, Rua Vergueiro 1.759, Paraíso, São Paulo, Brazil. Training is conducted in Portuguese.

The series consists of four day-long courses:     

•     Day 1: Introduction to Minitab
•     Day 2: Basic Statistics
•     Day 3: Statistical Quality Analysis
•     Day 4: Factorial Designs

The courses are for professionals working in the automotive industry, chemical production plants, and other companies involved in manufacturing. The course materials include examples with metrics such as diameters, pressure, and hardness.

The full four days of training costs R$3.817,000. Two or more people from the same organization receive a 10% discount if they register before January 28, 2013. Registration is available online at http://www.minitab.com/training/instructor-led/training-details.aspx?eventId=1127.

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.

Introduction to Minitab 
Participants learn to create, manipulate, and restructure data as well as 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.

Basic Statistics 
Participants learn to match appropriate statistical tools to their own applications, and how to interpret statistical output correctly, as well as how to reveal problems or show evidence of improvement, quickly. 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, correlation, simple linear and multiple regression, ANOVA, and GLM. 

Statistical Quality Analysis 
Participants learn the basic fundamentals of SPC and how these quality tools 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.

Factorial Designs 
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 experiment, 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.