Service Quality Series

Your Trainers

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Vineet Maurya

AI & Data Science Expert

Vineet has over fifteen years of experience in building analytical solutions and digital strategy for large organization. He is also data visualization expert & has passion for telling stories from big data. He has lead data science teams in top consulting firms such as Deloitte Singapore, AON Innovation Singapore, Accenture, IBM etc and helped several Fortune 500 companies with innovative analytical solutions on big data.

He helps Senior Leadership, VPs and advice clients primarily on Consulting and Big Data Analytics for Financial Advisory, Business Valuation, Real Estate consulting, Corporate Investigations, AML consulting, Big data Analytical Models and Six Sigma implementation using various tools and technologies. Over ten years, his clients ranged from dozens of global Fortune 500 companies in non financial business (e.g., Wallmart, McDonalds ), financial services firms (e.g., S&P rating, DBS Bank , ICBC), investment funds & hedge funds.

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 Essentials

 

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 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 Essentials