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Minitab Live Online Training Courses

Industry-Specific Options to learn Minitab Software

Minitab Live Online Training Courses are divided into three series – Manufacturing, Services and General. Manufacturing and Services series cover similar statistical methods but their course materials use different industry-based examples. General series covers recently added tool, CART.

Many Minitab Live Online Training Courses have prerequisite classes. Please contact us if you have any questions about which courses are right for you or to customise Minitab Live Online Training Courses.

Manufacturing Series

Minitab Manufacturing Quality series is 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 diameter, pressure, and hardness.

General Series

It is appropriate for members of a problem-solving team, those leading operations excellence activities, marketing analysts, and practitioners preparing to implement predictive analytics in their organisation.

Services Series

Minitab Service Quality series is for professionals working in financial services, healthcare, retail and other service-related industries. The course materials include examples with metrics such as time, ratings, and revenue.

Have Specific Training Requirement / Queries?

Minitab Essentials

Manufacturing

In this 2-day foundational Minitab Live Online Training Course you will learn to minimize the time required for data analysis by using Minitab to import data, develop sound statistical approaches to exploring data, create and interpret compelling graphs, and export results. Analyze a variety of real world data sets to learn how to align your applications with the right statistical tool, and interpret statistical output to reveal problems with a process or evidence of an improvement. Learn the fundamentals of important statistical concepts, such as hypothesis testing and confidence intervals, and how to uncover and describe relationships between variables with statistical modeling tools.

This course places a strong emphasis on making sound decisions based upon the practical application of statistical techniques commonly found in manufacturing, engineering, and research and development endeavours.

Topics include

Importing and Formatting Data
Bar Charts
Histograms
Boxplots
Pareto Charts
Scatterplots
Tables and Chi-Square Analysis
Measures of Location and Variation

t-Tests
Proportion Tests
Tests for Equal Variance
Power and Sample Size
Correlation
Simple Linear and Multiple Regression
One-Way ANOVA
Multi-Variable ANOVA

Prerequisite:

None. This course is a prerequisite for all other general Minitab Certified courses.

Upcoming Live Online Public Training Schedule

IMP Note: For a Group of 10+ Participants, we can schedule an exclusive program, on a mutually convenient date & time.
Contact us
to know the details.

Requisites for Live Online Trainings.

Statistical Quality Analysis

Manufacturing

Develop the necessary skills to successfully evaluate and certify manufacturing and engineering 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 manufacturing processes. Develop the skills to know when and where to use the various types of control charts available in Minitab for your own processes.

Learn how to utilize important capability analysis tools to evaluate your processes relative to internal and customer specifications. Minitab Live Online Training Course emphasis is placed on teaching quality tools as they relate to manufacturing processes.

Topics include

Gage R&R
Destructive Testing
Gage Linearity and Bias
Attribute Agreement
Variables and Attribute Control Charts
Capability Analysis for Normal, Nonnormal, and Attribute Data

Prerequisite:

Factorial Designs

Manufacturing

Learn to generate a variety of full and fractional factorial designs using Minitab’s intuitive DOE interface. Real-world applications demonstrate how the concepts of randomization, replication, and blocking form the basis for sound experimentation practices. Develop the skills necessary to correctly analyze resulting data to effectively and efficiently reach experimental objectives.

Use Minitab’s customizable and powerful graphical displays to interpret and communicate experimental results to improve products and processes, find critical factors that impact important response variables, reduce process variation, and expedite research and 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
Multiple Response Optimization

Prerequisite:

FD_img1

Upcoming Live Online Public Training Schedule

IMP Note: For a Group of 10+ Participants, we can schedule an exclusive program, on a mutually convenient date & time.
Contact us
to know the details.

Requisites for Live Online Trainings.

Statistical Tools for Pharmaceuticals

Manufacturing

Learn to apply Minitab tools commonly used in the pharmaceutical industry. Develop sound statistical approaches to data analysis by understanding how to select the right tool for a given scenario and to correctly interpret the results of the analysis. Learn how to easily import data and export output.

Learn the foundation for important statistical concepts for determining if a process mean is off target, whether two means are significantly different, and for demonstrating if a process change does not significantly affect a critical response. Develop the necessary skills to successfully evaluate and certify measurement systems. Understand how to utilize important capability analysis tools to evaluate your processes relative to internal and customer specifications. Learn how to evaluate a random sample of product from a lot to determine whether to accept or reject the entire lot.

Understand how to apply DOE for process improvement. Learn how to use stability analysis for determining the shelf life of a product. All applications place emphasis on making good business decisions based upon the practical application of statistical techniques commonly used in the pharmaceutical industry.

Topics include

Importing and Formatting Data
Bar Charts
Histograms
Boxplots
Scatterplots
Power and Sample Size Determination
t-Tests
Equivalence Tests
Proportion Tests
Tolerance Intervals
Variables and Attribute Control Charts
Regression
One-Way ANOVA
Multi-Variable ANOVA
DOE
Attribute Agreement Analysis & Gage R&R
Attribute Acceptance Sampling
Capability Analysis for Normal and Nonnormal Data

Prerequisite:

None. This course can be used as a pre-requisite to Response Surface Designs and DOE in Practice
minitab_pharma_img1
minitab_pharma_img2

Upcoming Live Online Public Training Schedule

IMP Note: For a Group of 10+ Participants, we can schedule an exclusive program, on a mutually convenient date & time.
Contact us
to know the details.

Requisites for Live Online Trainings.

Minitab Essentials + Essentials Stats

Learn the WHAT, WHY, WHEN & HOW ?

In this 4-day foundational course you will learn to minimise the time required for Data Analysis by using Minitab to import data, develop in-depth statistical approaches to exploring data, create & interpret compelling graphs, and export results. Analyse a variety of real world data sets to learn how to align your applications with the Right Statistical Tool, and interpret statistical output to reveal problems with a process or evidence of an improvement. Learn the fundamentals of important statistical concepts, such as hypothesis testing and confidence intervals, and how to uncover and describe relationships between variables with statistical modeling tools.

This course places a strong emphasis on making data-driven decisions based upon the practical application of statistical techniques commonly found in manufacturing, engineering, and research & development endeavour.

Topics

Data & Types
Importing & Formatting Data
Descriptive Statistics
Bar Chart
Histogram
Boxplot
Pareto Chart
Time Series Plot
Heat Map
Scatterplot
Measures of Central Tendency
Measures of Variation

Inferential Statistics
T-Tests
Normality Test
Power & Sample Size
Proportion Tests
Variances Test
Tests for Equal Variance
One-Way ANOVA
Two-Way ANOVA
General Linear Model
Correlation & Simple Regression
Multiple Correlation & Regression

Prerequisite:

None. This course is a prerequisite for all other general Minitab Certified courses.

Upcoming Live Online Public Training Schedule

Exclusive Program Only

IMP Note: For a Group of 10+ Participants, we can schedule an exclusive program, on a mutually convenient date & time.
Contact us
to know the details.

Minitab Advanced + Advanced Stats

Learn the WHAT, WHY, WHEN & HOW ?

In this 4-day advanced course you will learn to develop the necessary skills to successfully evaluate and certify manufacturing and engineering measurement systems. Learn in-depth about Statistical Process Control and how these important quality tools can provide the necessary evidence to improve and control manufacturing processes. Develop the skills to know when and where to use the various types of control charts available in Minitab for your own processes.

Learn how to utilize important capability analysis tools to evaluate your processes relative to internal and customer specifications. Minitab Live Online Training Course emphasis is placed on teaching quality tools as they relate to manufacturing processes.

Topics include

Gage R&R
Destructive Testing
Gage Linearity and Bias
Attribute Agreement Analysis
Control Charts for Variable Data
Control Charts for Attribute Data
Capability Analysis for Variable Data ( Normal & Nonnormal )
Capability Analysis for Attribute Data

Factorial Designs

Learn to generate a variety of full and fractional factorial designs using Minitab’s intuitive DOE interface. Real-world applications demonstrate how the concepts of randomization, replication, and blocking form the basis for sound experimentation practices. Develop the skills necessary to correctly analyze resulting data to effectively and efficiently reach experimental objectives.

Use Minitab’s customizable and powerful graphical displays to interpret and communicate experimental results to improve products and processes, find critical factors that impact important response variables, reduce process variation, and expedite research and 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
Multiple Response Optimization

Prerequisite:

FD_img1

Upcoming Live Online Public Training Schedule

Exclusive Program Only

IMP Note: For a Group of 10+ Participants, we can schedule an exclusive program, on a mutually convenient date & time.
Contact us
to know the details.

Statistical Tools For Pharmaceuticals + Stats

Learn the WHAT, WHY, WHEN & HOW ?

Learn to apply Minitab tools commonly used in the Pharmaceutical Industry. Develop in-depth statistical approaches to Data Analysis by understanding how to select the Right Tool for a given scenario and to correctly interpret the results of the analysis. Learn how to easily import data & export output.

Learn in-depth knowledge of various statistical concepts for determining if a process mean is off target, whether two means are significantly different, and for demonstrating if a process change does not significantly affect a critical response. Develop the necessary skills to successfully evaluate and certify measurement systems. Understand how to utilize important capability analysis tools to evaluate your processes relative to internal and customer specifications. Learn how to evaluate a random sample of product from a lot to determine whether to accept or reject the entire lot.

Understand how to apply DOE for process improvement. Learn how to use stability analysis for determining the shelf life of a product. All applications place emphasis on making good business decisions based upon the practical application of statistical techniques commonly used in the Pharmaceutical Industry.

Topics include

Data & Types
Importing & Formatting Data
Descriptive Statistics
Bar Chart
Histogram
Boxplot
Pareto Chart
Time Series Plot
Heat Map
Scatterplot
Measures of Central Tendency
Measures of Variation
Inferential Statistics
T-Tests
Normality Test
Power & Sample Size
Proportion Tests

Variances Test
Tests for Equal Variance
One-Way ANOVA
Two-Way ANOVA
General Linear Model
Correlation & Simple Regression
Stability Study
Multiple Correlation & Regression
Control Charts for Variable Data
Control Charts for Attribute Data
DOE
Gage R&R
Attribute Agreement Analysis
Attribute Acceptance Sampling
Capability Analysis for Normal Data
Capability Analysis for Nonnormal Data

Prerequisite:

None. This course can be used as a pre-requisite to Response Surface Designs and DOE in Practice
minitab_pharma_img1
minitab_pharma_img2

Upcoming Live Online Public Training Schedule

Exclusive Program Only

IMP Note: For a Group of 10+ Participants, we can schedule an exclusive program, on a mutually convenient date & time.
Contact us
to know the details.

CART with Minitab

General

In this 2-day course you will expand your analytics by analyzing data from real world problems experienced in many industries to explore and describe relationships between variables. Learn to use supervised machine learning techniques such as CART to analyze patterns found in historical data to gain better insights, identify potential risks, seek out improvement opportunities, and make predictions about the future.

This course emphasises the teaching of CART tools as they pertain to all industry domains.

Topics include

Logistic Regression & Multiple Regression
CART Classification
Tree Pruning & Misclassification Costs
CART Regression
K-fold Validation & Variable Importance Chart

Prerequisite:

None.

Upcoming Live Online Public Training Schedule

Exclusive Program Only

IMP Note: For a Group of 10+ Participants, we can schedule an exclusive program, on a mutually convenient date & time.
Contact us
to know the details.

Requisites for Live Online Trainings.

Minitab Essentials for Service Quality

Services

In this 2-day foundational Minitab Live Online Training Course you will learn to minimize the time required for data analysis by using Minitab to import data, develop sound statistical approaches to exploring data, create and interpret compelling graphs, and export results. Analyze a variety of real world data sets to learn how to align your applications with the right statistical tool, and interpret statistical output to reveal problems with a process or evidence of an improvement. Learn the fundamentals of important statistical concepts, such as hypothesis testing and confidence intervals, and how to uncover and describe relationships between variables with statistical modeling tools.

This course places a strong emphasis on making sound decisions based upon the practical application of statistical techniques commonly used in business, transactional, and services processes.

Topics include

Importing and Formatting Data
Bar Charts
Histograms
Boxplots
Pareto Charts
Scatterplots
Tables and Chi-Square Analysis
Measures of Location and Variation

t-Tests
Proportion Tests
Tests for Equal Variance
Power and Sample Size
Correlation
Simple Linear and Multiple Regression
One-Way ANOVA

Prerequisite:

None. This course is a prerequisite for all other general Minitab Certified courses for Service Quality.

Essentials-SQ_img1
EssentialsSQ_img2

Upcoming Live Online Public Training Schedule

Exclusive Program Only

IMP Note: For a Group of 10+ Participants, we can schedule an exclusive program, on a mutually convenient date & time.
Contact us
to know the details.

Requisites for Live Online Trainings.

Statistical Quality Analysis for Service Quality

Services

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 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, Nonnormal, and Attribute Data

Prerequisite:

FD_img1

Statistical Modeling for Service Quality

Services

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 behaviour.

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 include

Multi-Variable ANOVA
Binary Logistic Regression
Factorial Designs
Time Series Tools, including Exponential Smoothing
Trend Analysis
Decomposition
Multiple Linear Regression including Best Subsets and Stepwise Regression

Prerequisite:

Statistical_Mod_img

Upcoming Live Online Public Training Schedule

Exclusive Program Only

IMP Note: For a Group of 10+ Participants, we can schedule an exclusive program, on a mutually convenient date & time.
Contact us
to know the details.

Requisites for Live Online Trainings.

Minitab Essentials for Healthcare

Services

In this 2-day foundational Minitab Live Online Training Course you will learn to minimize the time required for data analysis by using Minitab to import data, develop sound statistical approaches to exploring data, create and interpret compelling graphs, and export results. Analyze a variety of real world data sets to learn how to align your applications with the right statistical tool, and interpret statistical output to reveal problems with a process or evidence of an improvement. Learn the fundamentals of important statistical concepts, such as hypothesis testing and confidence intervals, and how to uncover and describe relationships between variables with statistical modeling tools.

This course places a strong emphasis on making sound decisions based upon the practical application of statistical techniques commonly used in healthcare.

Topics include

Importing and Formatting Data
Bar Charts
Histograms
Boxplots
Pareto Charts
Scatterplots
Tables and Chi-Square Analysis
Measures of Location and Variation

t-Tests
Proportion Tests
Tests for Equal Variance
Power and Sample Size
Correlation
Simple Linear and Multiple Regression
One-Way ANOVA

Prerequisite:

None. This course is a prerequisite for all other general Minitab Certified courses for Service Quality.

minitab_pharma_img2
EssentialsSQ_img2

Upcoming Live Online Public Training Schedule

Exclusive Program Only

IMP Note: For a Group of 10+ Participants, we can schedule an exclusive program, on a mutually convenient date & time.
Contact us
to know the details.

Requisites for Live Online Trainings.

Statistical Quality Analysis for Healthcare

Services

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 the healthcare industry.

Topics 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, Nonnormal, and Attribute Data

Prerequisite:

minitab_pharma_img1

Upcoming Live Online Public Training Schedule

Exclusive Program Only

IMP Note: For a Group of 10+ Participants, we can schedule an exclusive program, on a mutually convenient date & time.
Contact us
to know the details.

Requisites for Live Online Trainings.

Have Specific Training Requirement / Queries?

Qsutra – the Authorised Partner & Certified Training Provider for Minitab in India, Sri Lanka, Bangladesh & Nepal!

With Minitab Certified Trainings, attendees learn to efficiently use Minitab Software and Maximize the Returns, for their organisation’s investments. Our Trainers are Expert Statisticians and Seasoned Industry Professionals, who are tested & certified by Minitab, LLC. USA, after going through their rigorous certification process. Our trainings provide Hands-on learning through real world problem solving – training attendees work through real world quality improvement scenarios (we have standard Examples) with guidance from the instructors so the training is retained after the class ends.

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