Data Analytics for Lean Six Sigma

Instructor: Inez Zwetsloot

Skills you'll gain

  •   Variance Analysis
  •   Process Improvement
  •   Statistical Analysis
  •   Analytics
  •   Minitab
  •   Box Plots
  •   Regression Analysis
  •   Probability Distribution
  •   Data Visualization Software
  •   Statistical Hypothesis Testing
  •   Lean Six Sigma
  •   Descriptive Statistics
  •   Correlation Analysis
  •   Data Analysis
  • There are 7 modules in this course

    In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is. I will emphasize on use of data analytics tools and the interpretation of the outcome. I will use many different examples from actual Lean Six Sigma projects to illustrate all tools. I will not discuss any mathematical background. The setting we chose for our data example is a Lean Six Sigma improvement project. However data analytics tools are very widely applicable. So you will find that you will learn techniques that you can use in a broader setting apart from improvement projects. I hope that you enjoy this course and good luck! Dr. Inez Zwetsloot & the IBIS UvA team

    Understanding and visualizing data

    Using probability distributions

    Introduction to testing

    Testing: numerical Y and categorical X

    Testing: numerical Y and numerical Y

    Testing: categorical Y

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