Treinamento do Minitab

What is Treinamento do Minitab?

Minitab Training is a four-day educational course so professionals can improve their data analysis techniques to work on business products and processes more effectively.

Aimed at professionals who direct and facilitate process improvement activities, such as quality team members, Minitab training allows you to learn a wide range of graphical and statistical tools and resources to explore relationships between variables using various metrics. With the support of Minitab Statistical Software and taught by a teacher with years of experience, all content is presented to the participant through practical examples and real exercises, allowing them to understand and learn how to apply the new skills immediately.

Days 1 and 2: Minitab Basics

The course teaches how to optimize time to import, analyze, explore, develop robust statistical approaches, and create, interpret, and export data graphs. This module also covers the analysis of a variety of real datasets, with a focus on aligning applications with statistical tools to interpret results and discover process evidence.

• The topics of these first two days of training are:
• Import and format data
• Bar charts
• Histograms
• Box diagrams
• Pareto graphics
• Scatter charts
• Tables and chi-square analysis
• Location and variation measurements
• t-tests
• Proportion tests
• Equal variance test
• Power and sample size
• correlation
• Single and multiple linear regression
• ANOVA unidireccional
• ANOVA with several variables

Day 3 - Statistical Analysis of Quality

With an emphasis on teaching quality tools and their relationship to industrial processes, on Minitab's third day of training, professionals learn to develop skills to evaluate and certify industrial measurement systems and engineering. The basics of statistical process control are also discussed, how quality tools can provide evidence to improve and control industrial processes, and the ability to evaluate relative processes and internal and customer specifications.

The topics for the third day of training are:

• R&R analysis
• Destructive trials
• Measurement and linearity bias
• Attribute agreement
• Attribute and variable control charts
• Capacity analysis for normal, non-normal, and attribute data

Day 4 - Factorial experiments

Generating fractional and complete factorial experiments using Minitab's intuitive DOE interface, with real applications to demonstrate how randomization, replication, and blocking concepts form the basis of safe experimentation practices are the highlights of the last day of training.

Another point is the creation and best ways to use Minitab's customizable charts to interpret and communicate experimental results.

The topics of the last day of training are:

• Factorial design of experiments
• Pareto effects and effects charts
• Power and sample size
• Main effect, interaction and cube charts.
• Center points
• Overlapping contour graphics
• Multiple response optimization

System Requirements:

CPU: 1.8 GHz dual-core processor

RAM: 2 GB

HDD/SSD: 50GB free space on the main drive

Operating system: Microsoft Windows 10, Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit and Microsoft Windows Vista 32-bit

Resolution: 1024 × 768

Supported operating systems

Mac OS X 10.5 x (Leopard), Mac OS X 10.6 (Snow Leopard), Mac OS X 10.7 (Lion), Mac OS X 10.7 (Mountain Lion), OS X 10.9 (Mavericks) y Mac OS X 10.10 (Yosemite)

Hardware requirements

Memory: 1GB RAM and more

Free disk space: 50 MB

System type: 32-bit and 64-bit OS