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Healthcare

This 3-day track provides participants with a comprehensive toolkit for effectively analyzing data in the healthcare industry.

Minitab Essentials for Healthcare

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 Certified courses for Service Quality.

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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:

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On- Site Training

Training for an organization’s employees at its site. Minimum participants required-10 Nos. Training module (Service Quality / Manufacturing), level of the training and date would be scheduled as per mutual convenience.

The benefits of on-site training are:

Upcoming Live Online Public Training Schedule

Minitab Essentials for Healthcare

Exclusive Program Only

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

Upcoming Live Online Public Training Schedule

Statistical Quality Analysis for Healthcare

Exclusive Program Only

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

Classroom Public Training

We offer Training at many convenient locations in India. Sessions are designed for beginners as well as for experienced professional. We schedule date, time, module (Service Quality / Manufacturing) and venue. It remains open to all and we limit enrollment so our trainers have time to address individual’s query.

Attending along with participants from mixed verticals & functions, has rich take-aways.

Upcoming Classroom Public Training Schedule

Exclusive Program Only

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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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