Course Descriptions : Service

Course Descriptions
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Minitab Statistical Software
Service Quality - Introduction to Minitab
Decrease the time required for statistical
analysis by quickly learning to navigate
Minitab's user-friendly and customizable
environment. Learn how to import/export data
output between Minitab and various software
and database systems. Enhance your ability to
create, manipulate, and restructure data.
Develop sound statistical approaches to data
analysis by learning how to create and
interpret a wide variety of graphs and
numerical measures useful for quality
improvement initiatives. This course focuses
on the utilization of these tools as they
pertain to applications commonly found in
business, transactional, and service industries.
Topics covered in the training material
include: Pareto Charts, Time Series plots,
Individual value plots, Bar charts, Histograms,
Boxplots, Dotplots, Scatterplots, Tables,
Measures of Location and Variation, ODBC.
Prerequisite: None. This course is a
prerequisite for all other Minitab Service
Quality courses.
Service Quality - Basic Statistics
Augment your graphical analysis skills using
Minitab’s powerful statistical tools. Develop
the foundation for important statistical
concepts such as hypothesis testing and
confidence intervals. By analyzing a variety of
real world data sets, learn how to match the
appropriate statistical tool to your own
applications and how to correctly interpret
statistical output to reveal problems quickly
with a process or to show evidence of an
improvement. Learn how to explore critical
features in your processes through statistical
modeling tools that help to uncover and
describe relationships between variables. The
course emphasis is on making good business
decisions through the use of statistical tools
commonly used in business, transactional, and
service processes.
Topics covered in the training material
include: t-Tests, Proportion Tests, Tests for
Equal Variance, Power and Sample Size,
Tables and Chi-Square Analysis, Correlation,
Simple Linear Regression, ANOVA
Prerequisite: Introduction to Minitab (Service
Quality)
Optional Topic for On-Site Training:
Nonparametric Tests
Service Quality - Statistical Quality
Analysis
Develop the necessary skills to successfully
evaluate and certify your measurement
systems. Learn the basic fundamentals of
statistical process control and how these
important quality tools can provide the
necessary evidence to improve and control
your processes. Develop the skills to know
when and where to use the various types of
control charts available in Minitab. Learn how
to utilize important capability analysis tools to
evaluate your processes relative to internal
and customer specifications. The course
emphasizes the teaching of quality tools as
they pertain to service industries.
Topics covered in the training material
include: Attribute Agreement 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.
Prerequisites: Introduction to Minitab (Service
Quality) and Basic Statistics (Service Quality)
Optional Topic for On-Site Training:
Acceptance Sampling for Attribute and/or
Variables Data
Service Quality - Advanced
Expand your set of available statistical tools
by analyzing data from real world problems
experienced in service industries. Strengthen
analysis skills with tools used to explore and
describe relationships between variables.
Learn to discover and describe features in
data related to the effect and impact of time,
and how to forecast future process behavior.
Utilize graphical and quantitative approaches
to describe similarities and differences
between the effects of various factors on
important quality characteristics. Learn how to
find and quantify the effect that factors have
on the probability of a critical event occurring.
Topics covered in the training material
include: GLM; Binary Logistic Regression;
Factorial Designs; Time Series Tools Including
Exponential Smoothing, Trend Analysis,
Decomposition, Multiple Linear Regression
including Best Subsets and Stepwise
Regression.
Prerequisites: Introduction to Minitab (Service
Quality) and Basic Statistics (Service Quality)
Macros
Automate your Minitab analysis and save time
with macros. Learn how to use Minitab’s
command syntax to write macros that
instantaneously import data from a database,
manipulate poorly structured Excel files, and
perform statistical analysis with minimal user
input. By the end of this hands-on course, you
will be able to write and execute your own
custom macros.






Prerequisites: Introduction to Minitab
Quality Companion
Quality Companion Essentials
In this 2-day course you will quickly learn how
to navigate Quality Companion’s user-friendly
and customizable environment. Learn how to
identify a potential project and quantify its
risks. Define and scope a project to more
easily gain buy-in from key stakeholders. Learn
to use Quality Companion’s built-in Roadmaps
and Coaches to determine which tools and
statistical analyses are appropriate at any
phase of the project. Define a process and
manage its activities to gain insight into the
value stream. Modify Quality Companion’s
built-in tools to reflect your preferred quality
improvement methodology. Create custom
data fields and categories as well as custom
project and tool templates that can be stored
as permanent software options and shared
with other users.
Topics covered in the training material
include: Quality Companion environment,
Project Manager, Roadmap, Coaches,
Templates, Custom Data Fields, Project Data
Sharing and Modifying Forms.
Tools covered in the training material include:
Process mapping, Brainstorming / Fishbone
diagram, Y metrics, Ballots, Presentations,
Analysis Capture tools, Value Stream mapping,
as well as various form tools such as Project
Charter, C&E Matrix, FMEA, and more.
Prerequisite: View Quality Companion
recorded webcasts prior to attending this
course.