Quality Trainer Learning Path

Quality Trainer uses learning paths, chapters, and lessons to teach the statistical methods used in conducting a Six Sigma project and other quality analyses. The Quality Trainer is mapped within the Minitab Education Hub through personalized access.

Each chapter of a learning path contains interactive exercises and instructions in English for using the statistical software Minitab to perform a successful analysis. The chapters build on each other - but can be viewed in isolation by those with appropriate prior knowledge.

Quality Trainer is divided into four learning paths. Each learning path consists of several chapters.

Overview over Learning Paths and Chapters

  • Foundations of Data Analysis
    • Descriptive Statistics and Graphical Analysis
    • Statistical Inference
    • Hypothesis Tests and Confidence Intervals
    • Analysis of Variance (ANOVA)
    • Correlation and Regression
  • Statistical Quality Analysis
    • Control Charts
    • Process Capability
    • Measurement Systems Analysis
  • Design of Experiments
    • Analysis of Variance (ANOVA)
    • Design of Experiment
  • Predictive Analytics
    • Correlation and Regression
    • Multiple Regression
    • Predictive Analytics
      • Machine Learning
      • Model Validation: K-fold, Test and Training Sets, R-squared Predicted
      • Tree Based Methods
      • CART Classification Trees: Misclassification rate, Variable Importance Plot, ROC Curve, Prediction
      • CART Regression Trees: R-squared, Variable Importance Plot, Residual Plots, Prediction