Virtual or Onsite Instructor Led-Training
Courses Description
In this one day foundational 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.
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
In this 2-day foundational 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 endeavors.
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 courses.
Optional Topic for On-Site Training:
Nonparametric Tests
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. The 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:
Minitab Essentials
Continue to build on the fundamental statistical analysis concepts taught in the Minitab Essentials course by learning additional statistical modeling tools that help to uncover and describe relationships between variables. Hands-on examples illuminate how modeling tools help reveal key inputs and sources of variation in your processes.
Learn how to use statistical models to investigate how processes may behave under varying conditions. This course provides techniques to help you better understand your processes and to focus and verify your improvement efforts.Topics include:
- Multiple and Stepwise Regression
- Nonlinear Regression
- Partial Least Squares
- Multi-Variable ANOVA with Covariates
- Nesting and Random Factors
- MANOVA
- Binary and Nominal Logistic Regression
Prerequisite:
Minitab Essentials
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.
Prerequisite:
Minitab Essentials
Continue to build on the fundamental concepts taught in the Manufacturing Statistical Quality Analysis course by learning additional tools for measuring quality levels when your data are skewed, have extreme outliers, are multimodal, or are clustered. Expand your knowledge of control charting by learning how to correctly identify special cause variation in the presence of nonnormal data.
Develop the necessary skills to successfully use graphical methods and statistical tests for detecting nonnormal data and choosing an appropriate distribution or transformation for the analysis. Learn about the impact of poor measurement resolution and sample size on normality testing.Topics include:
- Probability Plots
- Tests for Normality
- Capability Analysis for Nonnormal Data
- Box-Cox and Johnson transformations
- Multiple Variables Capability Analysis
- Tolerance Intervals
- Individuals Control Charts
- Multiple Failure Modes Analysis
Prerequisite:
Minitab Essentials and Statistical Quality Analysis
In this foundational 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 visualizations, and export results. Automate your Minitab analysis with minimal user input to save time. Analyze a variety of real-world data sets to learn how to align your applications with the right analytics tool and interpret the statistical output. Learn the fundamentals of important statistical concepts such as hypothesis testing and confidence intervals.
This course places a strong emphasis on making sound decisions based upon the practical application of statistical techniques commonly used in business, manufacturing, and transactional processes.
Topics include:
- Importing and Formatting Data
- Exec Macros
- Bar Charts
- Histograms
- Boxplots
- Pareto Charts
- Scatterplots
- Measures of Location and Variation
- t-Tests
- Test for Equal Variance
- Power and Sample Size
Courses Description
In this one day foundational 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
In this 2-day foundational 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 Service Quality courses.
Optional Topic for On-Site Training:
Nonparametric Tests
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:
Minitab Essentials for Service Quality
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 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:
Minitab Essentials for Service Quality
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.
Prerequisite:
Minitab EssentialsCourses Description
In this one day foundational 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
In this 2-day foundational 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 Service Quality courses.
Optional Topic for On-Site Training:
Nonparametric Tests
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:
Minitab Essentials for Service QualityExpand 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 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:
Minitab Essentials for Service QualityAutomate 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.
Prerequisite:
Minitab EssentialsIn this 2-day foundational 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 courses.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, Attribute, and Rare Event Control Charts
- Capability Analysis for Normal, Nonnormal, and Attribute Data
Prerequisite:
Minitab EssentialsLearn 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 Certified Training Essentials I & II
Our Instructor
Vineet has over fifteen years of experience in developing analytical solutions and digital strategies for large organizations. As a statistical analysis expert, he is passionate about uncovering insights from data. He currently leads the data science and statistical analysis efforts at SquareCircle. Previously, he led data science teams at top consulting firms such as Deloitte, Accenture, and IBM in various global locations, delivering innovative analytical solutions to several Fortune 500 companies.
Vineet advises senior leadership and VPs, primarily focusing on consulting and analytics for Six Sigma process optimization, AI implementation, and advanced statistical quality control using various tools and technologies. Over the past fifteen years, his clients have included numerous global Fortune 500 companies across multiple sectors, including manufacturing, oil and gas, healthcare, financial services, and retail. His expertise encompasses process improvement, control charts, design of experiments (DOE), and capability analysis, ensuring high-quality outcomes and operational excellence for his clients.
Datatools
2902 Marina Plaza Al Marsa Street
PO Box 334155
Dubai – United Arab Emirates
Phone: +971(4) 2780994
Email: futureskills@datatools.me