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Learning Tracks

Each learning track is designed to teach you the statistical techniques and tools most relevant to your industry or business application. Unsure which track is best for you?

Improving Manufacturing Processes

Courses: Minitab Essentials | Statistical Quality Analysis | Factorial Designs

Our most popular offering for manufacturing, this track provides the foundation for effectively analyzing and improving products and processes. Gain exposure to a broad range of graphical and statistical tools to assess if results are on target, explore relationships between variables, and minimize defects using examples with metrics such as diameter, pressure, and hardness.

Predictive Analytics

Courses: Fundamentals of Analytics, Regression Modeling and Forecasting, Machine Learning

This track provides the foundation for predictive analytics. Learn to apply statistics, modeling, and machine learning to analyze patterns found in historical data to gain better insights, identify potential risks, seek out improvement opportunities, and make predictions about the future.

Services

Improving Business Processes

Courses: Minitab Essentials | Statistical Quality Analysis | Statistical Modeling

Our most popular offering for services, this track provides the foundation for effectively analyzing data in financial and related industries. Learn to apply a broad range of graphical and statistical techniques to assess if processes are on target, explore relationships between variables, and minimize defects using examples with metrics such as time, ratings, and revenue.

Healthcare

Courses: Minitab Essentials for Healthcare | Statistical Quality Analysis for Healthcare

This track provides a comprehensive toolkit for analyzing data in the healthcare industry, with an emphasis on using proven quality methods to make sound decisions. Learn the data analysis techniques necessary to assess if processes are on target, explore relationships between variables, and improve outcomes using metrics such as cycle time, readmissions, ratings, and revenue.

Pharmaceuticals

Courses: Statistical Tools for Pharmaceuticals

This pharmaceuticals track provides the foundation for effectively applying statistical tools to the different stages of the FDA Process Validation Guideline. Learn to use data analysis techniques to understand product variation and defects, determine shelf life, assess if a process is capable of meeting specifications, and monitor the stability of a validated process.

Medical Devices

Courses: Statistical Tools for Medical Devices

This track covers the application of statistical tools commonly used in the medical devices industry. Learn to use data analysis techniques to understand variation and defects, determine the useful life of a product, assess if a process is capable of meeting customer specifications, and monitor the stability of a validated process.

Process Control and Capability

Courses: Minitab Essentials | Statistical Quality | Analysis Additional Topics in Statistical Quality Analysis

With a focus on understanding and applying SPC, this track covers the data analysis techniques to validate if a measurement system is reliable, determine if a process is stable, and quantify if a process is capable of meeting customer specifications.

Experimental Design and Process Optimization

Courses: Minitab Essentials | Factorial Designs | Response Surface Designs

This track emphasizes how to use various DOE techniques to effectively plan and analyze designed experiments. Learn to identify the key factors that impact a critical quality measure and optimize both product results and process performance.

Product Reliability

Courses: Minitab Essentials | Introduction to Reliability | Advanced Reliability

This track covers how to use graphical and statistical reliability tools to evaluate the lifetime of a product. Learn data analysis techniques to perform accelerated life tests, determine what factors impact product failure, and make warranty predictions.

Exploring Relationships Between Variables

Courses: Minitab Essentials | Statistical Modeling

Learn to effectively describe relationships involving key performance indicators and uncover problematic sources of variation. This track includes data analysis techniques to compare several groups, understand correlation, and model both linear and nonlinear relationships between variables.

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